bluuebunny/crossref_metadata_2025 huggingface dataset:
Адаптивно-ціннісний підхід до управління проєктами розвитку громад та регіонів
Authors: Тригуба А. , Маланчук О. , Ратушний А. , Паньків О. , Коваль Л. , Шолудько Р. , Андрушків О.
Published: January 2024

Виконаний аналіз стану питання в теорії та практиці реалізації проєктів розвитку громад та регіонів. Встановлено, що для проєктного та портфельного управління наявні методології та підходи, які мають переваги та недоліки. Обґрунтована доцільність розроблення адаптивно-ціннісного підходу до управління проєктами розвитку громад та регіонів, який забезпечить усунення існуючих недоліків. Запропонований адаптивно-ціннісний підхід забезпечує врахування особливостей та специфіки проєктів розвитку громад та регіонів і враховує сучасні реалії громад, що лежать в основі ефективного управління проєктами їх розвитку.

Запропонований адаптивно-ціннісний підхід до управління проєктами розвитку громад та регіонів враховує невизначеність та ризики, що властиві проєктам розвитку громад, а також забезпечує досягнення цілей та створення максимальної цінності для стейкхолдерів. На підставі адаптивно-ціннісного підходу розроблено алгоритм управління проєктами розвитку громад та регіонів, який охоплює 14 кроків, що відображають виконання процесів з обґрунтованими їх особливостями. Між цими етапами існують взаємозв'язки, які системно зумовлюють формування портфелів проєктів із максимальною їх цінністю та врахуванням змін проєктного середовища.

У результаті виконаних досліджень сформовано проєктні ідеї та їх альтернативи для портфелів проєктів розвитку громади. Сформовано варіанти конфігурації проєктів розвитку громад у різних сферах, а також використовуючи представлений вище підхід для кожного з цих варіантів визначено показники доцільності включення проєктів у портфель розвитку громади. Сформовано портфель проєктів розвитку для умов заданої громади, який включає 4 проєкти (проєкт 5 – створення природного заповідника та відновлення місцевої екосистеми, проєкт 3 – встановлення відеоспостереження в громадських місцях, проєкт 6 – розбудова системи переробки органічних відходів та проєкт 4 – розширення програми патрулювання добровільними формуваннями) загальним бюджетом 1700 тис. $ та сумарною цінністю для стейкхолдерів – 1,96. Подальші дослідження слід проводити в напрямі розробки системи підтримки прийняття рішень для проєктних менеджерів, яка базуватиметься на запропонованому адаптивно-ціннісному підході до управління проєктами розвитку громад та регіонів.
Аналіз стану виробничого травматизму як передумова управління процесами формування небезпечних подій
Authors: Городецький І. , Тимочко В. , Магац М. , Мазур І. , Березовецький А. , Мазурак М.
Published: January 2024

Охарактеризовано проблему нещасних випадків і травматизму на виробництві в Україні та світі. За даними Державної служби статистики України (Держстату), за останні роки щорічно зростає загальна кількість травмованих: 4040 – у 2018 р., 4394 – у 2019 р., 6646 – у 2020 р. і 12315 – у 2021 р. Також, за статистичними даними, кількість важких травмувань з летальними наслідками аналогічно зростає: 275 у 2018 р., 410 у 2019 р., 393 у 2020 р. і 537 у 2021 р. За даними Міжнародної організації з питань праці, серед лідерів кількості нещасних випадків/травматизму з летальними наслідками (на 100 тис. працівників) є Куба (показник 25), Бурунді (13,8), Єгипет (10,7), Коста Ріка (9,7), Філіппіни (9,6). Проаналізовано стан досліджень виробничого травматизму в окремих галузях нагляду: сільське господарство, машинобудування, енергетика, автомобільний транспорт. Охарактеризовано особливості термінології травматизму в нормативних актах та формах Держстату. На основі інформації Державної служби статистики України, Державної служби України з питань праці (Держпраці) та Фонду соціального страхування України проаналізовано стан травматизму за 2018-2021 рр. в окремих галузях (сільське господарство, машинобудування, енергетика, автомобільний транспорт). Наголошено на особливостях небезпечних і шкідливих виробничих чинників аналізованих галузей та їх ролі у формуванні травмонебезпечних ситуацій. Встановлено динаміку виробничого травматизму за останні роки за досліджуваними галузями: постачання електроенергії 143 – у 2018 р., 162 – у 2019 р., 150 – у 2020 р., 149 – у 2021 р.; сільське і лісове господарство відповідно 272, 337, 243, 250; транспорт, складське господарство – 391, 404, 395, 386, переробна промисловість – 1112, 1014, 813, 875. Усього за роками було відповідно 4040, 4394, 6646 і 12315 травмованих осіб. Встановлено групи причин страхових нещасних випадків: організаційні – 66,8%; психофізіологічні – 18,4 %, технічні – 11,9 %; техногенні, природні, екологічні та соціальні – 0,7 %; інші (не належать до жодної із зазначених груп) – 2,2 %. Наголошено на ролі роботодавця в управлінні процесами формування травмонебезпечних подій, удосконаленні функцій управління безпекою праці: планування, організація, мотивація, контроль заходів щодо запобігання небезпечним ситуаціям, аваріям, нещасним випадкам.
КОНТРАКТНЕ РЕГУЛЮВАННЯ ЕКОНОМІЧНИХ ПРОЦЕСІВ ЯК ІНСТРУМЕНТ ЕФЕКТИВНОГО УПРАВЛІННЯ
Authors: КИЦИШИН Іван
Published: January 2024

У статті ідентифікована стан, інституційні проблеми та перспективи використання контрактного регулювання у вітчизняній економіці. Досліджено основні принципи та типи економічних контрактів в контексті побудови ефективної системи управління. Запропоновано використовувати реляційне контрактне регулювання економічних процесів з метою максимізації загальної вартості агентів ринку та протидії опортуністичним моделям поведінки.
EVALUATING THE AGENCY OF UNITED NATIONS FORUM ON FORESTS IN HALTING DEFORESTATION
Authors: Raharjo Wahyu Arif , Fridiyanti Yulita Nilam , Setiawan Zudi
Published: January 2024

The recent decrease in deforestation suggests a success in global effort of halting it, yet the question on in the agency of United Nations Forum on Forests (UNFF) remains. Do these changes occur due to UNFF’s facilitation? To examine this, this paper utilizes Principal-Agent theory proposed by Hawkins et al., (2006) to explore UNFF’s autonomy and discretion and its role in halting deforestation. It will first analyse the historical and relational foundation of UNFF as an international organization (IOs) and then define the meaning of ‘problem-solved’ in terms of forest issue. It will then evaluate policy instruments and powers that UNFF holds using Martha & Finnemore’s argument on the power of IOs. This paper argues that UNFF is serving as a forum for global forestry governance. It faces challenges due to differing national interests, limited discretion and significant role of NGOs in influencing discussions and advocating for sustainable forest management. Tensions persists between developed and developing nations in forestry issue, thus UNFF plays the role of collaboration and coordinating agents through Collaborative Partnership on Forest (CPF). It possesses limited role as arbitrating and enforcing agent due to Non-Legally Binding Instruments (NLBI) preferences of member states. However, UNFF possesses the power in terms of diffusing norms accepted by members, that halting deforestation is non-negotiable.
KERJASAMA INFRASTRUKTUR CINA-PAKISTAN MELALUI CHINA-PAKISTAN ECONOMIC CORRIDOR TAHUN 2013-2020
Authors: Hermawan M. Ozha Putra , Pasan Etha
Published: January 2024

Cina berkeinginan untuk melakukan percepatan kegiatan ekonomi dan memperluas jalur sutra melalui pembangunan infrastruktur. Untuk mencapai keinginan tersebut Cina melakukan hubungan kerjasama dengan negara tetangga, yaitu Pakistan. Kerjasama ini tertuang dalam China-Pakistan Economic Corridor (CPEC). Cina menginvestasikan sebesar US$ 46 Million untuk pembangunan infrastruktur di Pakistan. Hasil penelitian menunjukkan bahwa kerjasama antara Cina-Pakistan merupakan kerjasama bilateral yang bersifat teknik melalui pembangunan infrastruktur meliputi jalan raya, rel kereta api, dan pelabuhan di Pakistan dengan tujuan memperpendek waktu dan jarak tempuh jalur perdagangan Cina.
PENGUJIAN MODEL UNIFIED TECHNOLOGY ACCEPTANCE AND SYSTEM SUCCESS (UTASS) DALAM PENGADOPSIAN E-GOVERNMENT
Authors: Sulistiawati Sulistiawati , Sriwidharmanely Sriwidharmanely
Published: January 2024

Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang mempengaruhi keinginan mengadopsi e-Government. Penelitian ini mengusulkan model Unified Technology Acceptance and System Success (UTASS) untuk menginvestigasi perilaku pegawai pengelola keuangan dalam mengadopsi E-Government. Penelitian ini mengumpulkan data melalui survei dengan menyediakan kuesioner Google Form secara online. Sampel penelitian ini adalah 44 pegawai instansi Badan Pengelolaan Keuangan Daerah (BPKD). Data yang diperoleh dianalisis dengan menggunakan teknik analisis Struktural Equation Model (SEM) via PLS (Partial Least Square). Hasil penelitian ini menunjukkan bahwa kualitas sistem (SQ) dan kualitas informasi (IQ) tidak berdampak positif pada niat berperilaku (BI). Sedangkan pengaruh sosial (SI) dan kondisi yang memfasilitasi (FC) berdampak positif terhadap niat berperilaku (BI). Selanjutnya, kondisi yang memfasilitasi (FC) dan niat berperilaku (BI) juga tidak berdampak positif pada perilaku penggunaan (UB) dalam mengadopsi e-Government.
PENGARUH EFEKTIVITAS KOMITE AUDIT TERHADAP REPUTASI PERUSAHAAN DENGAN ERM SEBAGAI VARIABEL MODERASI
Authors: Warisno Mettu , Husaini Husaini
Published: January 2024

Tujuan dari penelitian ini adalah untuk menguji pengaruh efektivitas komite audit terhadap reputasi perusahaan. Lebih lanjut, penelitian ini juga menguji Enterprise Risk Management (ERM) dalam memoderasi hubungan efektivitas komite audit terhadap reputasi perusahaan. Sampel dalam penelitian ini adalah perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia periode 2018-2022 dan mempunyai index CII selama rentang waktu tersebut. Hasil penelitian ini menunjukkan bahwa komite audit tidak mempunyai pengaruh terhadap reputasi perusahaan. Enterprise Risk Management (ERM) tidak mempunyai pengaruh moderator terhadap hubungan efektivitas komite audit terhadap reputasi perusahaan.
PENGARUH CORPORATE GOVERNANCE DAN MODAL INTELEKTUAL TERHADAP KINERJA KEUANGAN PERUSAHAAN PERBANKAN YANG TERDAFTAR PADA BURSA EFEK INDONESIA TAHUN 2016-2022
Authors: Bimasakti Yohanes Kartika , Warastuti Yusni
Published: January 2024

Tujuan dilakukannya penelitian ini untuk mengetahui pengaruh dewan direksi,dewan komisaris, komite audit, kepemilikan institusional dan modal intelektual terhadap kinerja keuangan perusahaan keuangan perusahaan perbankan yang terdaftar pada Bursa Efek Indonesia tahun 2016-2022. Teknik pengumpulan data menggunakan dokumentasi. Teknik pengambilan sampel menggunakan metode purposive sampling. Populasi dalam penelitian ini adalah perusahaan sektor perbankan yang terdaftar di Bursa Efek Indonesia tahun 2016-2022 yang berjumlah 47 perusahaan dengan data awal sejumlah 329,di uji normalitas terdapat pengurangan data dikarenakan data tidak normal,sehingga menjadi 155 data. Teknik analisis data dalam penelitian ini menggunakan Analisis Regresi Linier Sederhana dan Analisis Regresi Linier Berganda. Hasil penelitian menunjukkan bahwa dewan direksi berpengaruh positif terhadap kinerja keuangan, dewan komisaris berpengaruh negatif terhadap kinerja keuangan, komite audit tidak berpengaruh terhadap kinerja keuangan, kepemilikan institusional berpengaruh positif terhadap kinerja keuangan dan modal intelektual berpengaruh positif terhadap kinerja keuangan
Pengaruh Promosi Penjualan, Store Atmosphere, Variasi Produk, Dan Money Availability Terhadap Impulse Buying Pada Golden Market Jember
Authors: Kharisma Ayu , Widagdo Suwignyo , Supeni Nely
Published: January 2024

This study aims to determine the effect of sales promotion, store atmosphere, product variety, and money availability on impulse buying in Golden Market Jember. The population in this study is all cunsumers who have made impulse buying at Golden Market Jember Supermarket. The samples used were 50 respondents who were consumers who had carries out impulse buying at Golden Market Jember Supermarket. The sampling technique used is purposive sampling. The method of data analysis uses multiple linear regression with help of SPSS 20. The test used is data instrument test (validity and reliability), the classic assumption test (normality test, multicollinearity test, and heteroscedasticity test), analysis multiple linear regression, coefficient of determination (R2), hypothesis test (t test and F test). The results showed that partially sales promotion has a significant effect on impulse buying; store atmosphere has no significant effect on impulse buying; product variety has significant effect on impulse buying; money availability has no significant effect on impulse buying; and simultaneously sales promotion, store atmosphere, product variety, money availability has significant effect on impulse buying in Golden Market Jember.
Pengaruh Perceived Ease F Use Harga Dan Promosi Terhadap Minat Beli Ulang Konsumen Di Shopee (Studi Kasus Pada Mahasiswa STIE Mandala)
Authors: Iswahyuningtyas Kurniarum , Budiono Karim , Hidayah Tamriatin
Published: January 2024

This study aims to determine the effect of Perceived Ease Of Use, Price and Promotion on Consumer Repurchase Interest at Shopee at STIE Mandala Jember Students. The population of this research is STIE Mandala Jember students. The sample used was 40 respondents. The sampling technique used is probability sampling. The data analysis method uses multiple linear regression with the help of IBM SPSS Statistics 25. The results of this study show that Perceived Ease of Use does not directly affect repurchase interest. Price has a direct effect on repurchase interest. Promotion does not have a direct effect on repurchase interest. Perceived Ease Of Use, Price and Promotion have a simultaneous effect on repurchase interest.
Pengaruh Kualitas Produk, Inovasi Dan Promosi Beauty Influencer Terhadap Keputusan Pembelian Produk Wardah Colorfit Series Di Masa Pandemi Covid-19 Pada Mds Johar Plaza Jember
Authors: Novitasari Widya Puji , Sulaksono Hary , Supeni Nely
Published: January 2024

This study aims to examine the effect of product quality, innovation and promotion of beauty influencers on purchasing decisions for Wardah Colorfit Series products at MDS Johar Plaza Jember. The sample in this study were female consumers of wardah with a total of 40 respondents. The data analysis used is the validity test, reliability test, normality test, multicollinearity test, heteroscedasticity test, multiple linear regression analysis test, t test and F test. The conclusion of this study is that partially the product quality variable (X1) has no significant effect on decisions. Purchase of (Y) Wardah Colorfit Series Products at MDS Johar Plaza Jember. the Innovation variable (X2) has a significant effect on the Purchase Decision (Y) of Wardah Colorfit Series Products at MDS Johar Plaza Jember. The Beauty Influencer Promotion Variable (X3) has a significant effect on the Purchase Decision (Y) of Wardah Colorfit Series Products at MDS Johar Plaza Jember. Simultaneously the variables Product Quality (X1), Innovation (X2) and Beauty Influencer Promotion (X3) have a positive and significant effect on Purchase Decision (Y) for Wardah Colorfit Series Products at MDS Johar Plaza Jember.
Pengaruh Harga Dan Kualitas Produk Terhadap Keputusan Konsumen Pada Cafe Benteng Buah Naga Jajag
Authors: Sari Suci Novita , Fansuri Hamzah , Dahliani Yani
Published: January 2024

A company in issuing products should be adjusted to the needs and desires of consumer. The purpose of this study was to determine the effect of prices, product quality and promos on consumer purchasing decisions. This study uses multiple linear regression analysis, hypothesis testing and classical assumption test. So the result obtained from the F test are that the price and product quality variables simultaneously have a significant effect and on the t test, the price variable has a significant effescr while product quality does not effect consumer purchasing decisions
PENGARUH HARGA, KUALITAS PRODUK DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN MELALUI KEPUASAN KONSUMEN PADA TOKO ADITYA FASHION SUMBERJAMBE JEMBER
Authors: Khitamina Khusnul , Supeni Nely , Maspufah Hayatul
Published: January 2024

This study entitled "The Effect of Price, Product Quality and Proposition on Purchase Decisions through Consumer Satisfaction atAditya fashion store Sumberjambe Jember". This study aims to determine the direct and indirect influence of price, product quality, promotion on purchasing decisions through customer satisfaction at Aditya fashion store Sumberjambe Jember. The population used in this study are customers who have made purchases at the Sumberjambe Jember Aditya fashion store. The sample used in this study was 50 respondents. The sampling technique used is purposive sampling. The data analysis method used is path analysis (Path analysis) with the help of SPSS 25. The tests used in this study are data instrument tests (Validity and Reliability Test), Sobel Test, and T test. The research results show that the influence of price, product quality and promotion has a significant effect on purchasing decisions through consumer satisfaction.
PENGARUH TINGKAT PENDIDIKAN, KESELAMATAN KERJA, LINGKUNGAN KERJA, DAN MOTIVASI KERJA TERHADAP PRODUKTIVITAS KERJA KARYAWAN DI PT. GAS PRIMA ARTA CURAH TEBU II GRUJUGAN, BONDOWOSO
Authors: Wardi Mohammad , Supeni Nely , Fansury Yusuf Hamzah
Published: January 2024

Basically every company that is established has the hope that later in the future will experience rapid development in the scope of its activities and want to create high productivity in the field of work. To realize this operation several factors of production are needed, namely, labor, capital and expertise, where these four factors cannot stand alone, but must support each other to achieve goals effectively and efficiently. Human resources with high work productivity make it possible to achieve the goals set by the organization/agency.What happened to the company at PT. Gas Prima Arta in terms of productivity is still lacking. In particular, there is a lack of employee coordinators with superiors, namely managers, because the manager is in Madura and in the company the person in charge is transferred to the company administrator.
PENGARUH CITRA MEREK, KUALITAS PRODUK, DESAIN DAN IKLAN TERHADAP KEPUTUSAN PEMBELIAN KENDARAAN BERMOTOR HONDA SCOOPY DI KECAMATAN MAYANG JEMBER
Authors: Azizah Nuril , Dahliani Yani , Qomaruzzaman Ratu Edi Bagus
Published: January 2024

This study aims to determine the effect partially and simultaneously on the variables Brand Image, Product Quality, Design and Advertising on Purchasing Decisions. The data processing method in this study uses data instrument tests, namely: validity and reliability tests, classic assumption tests, namely: normality test, multicollinearity test, and heteroscedasticity test, multiple linear analysis, hypotheses namely: t test and F test, and coefficient of determination, with the help of the SPSS 22 analysis tool. The results showed that the variables Brand Image, Design and Advertising partially had no significant effect on the Honda Scoopy Motor Vehicle Purchase Decision in Mayang Jember District, while the Product Quality variable partially had a significant effect on the Honda Scoopy Motor Vehicle Purchase Decision In Mayang Jember District, and simultaneously the variables Brand Image, Product Quality, Design and Advertising have a significant effect on the Purchase Decision of Honda Scoopy Motorized Vehicles in Mayang Jember DistrictThe Product Quality Variable is the dominant factor in the Decision to Purchase Honda Scoopy Motorized Vehicles in Mayang Jember District..
STRATEGI PENGEMBANGAN OBJEK WISATA KAWASAN TPA SEBAGAI WISATA EDUKASI DI DESA KERTOSARI KECAMATAN PAKUSARI JEMBER
Authors: Jannah Hofiatul , Handayani Yuniorita Indah , Haifa Haifa
Published: January 2024

This study aims to identify what elements are the strengths, weaknesses, opportunities and threats faced now and in the future, as well as appropriate development strategies. The results of the study show that through the SWOT matrix, IFAS Matrix and EFAS Matrix, it can be stated that Pakusari Jember Landfill Tourism has the ability to turn its potential into an achievement and even better performance in the future so that the right policy direction to be implemented is to increase and enlarge the role of Pakusari landfill tourism in various activities in accordance with the capabilities possessed, as well as to expand the role and take advantage of various opportunities. This policy direction is the basis of the policy in a growth strategy condition, meaning that in its development Pakusari Landfill Tourism can use a growth strategy but the role is carried out in stages according to the priority scale. And this strategy is supported by alternatives and opportunities to attract more visitors by developing infrastructure and developing community creativity, by increasing the various potentials that exist such as utilizing waste from used goods to make attractive photo spots and unique, improve the performance of waste management techniques and increase the promotion of tourist attractions to attract tourists to visit.
PERANAN CUSTOMER SERVICE DALAM MENINGKATKAN LOYALITAS NASABAH PENABUNG PADA PT. BANK TABUNGAN NEGARA (PERSERO) TBK KANTOR CABANG DENPASAR
Authors: NurFaizi Ahmad Nadif , Haifa Haifa , Maspufah Hayatul
Published: January 2024

This research uses a qualitative descriptive approach where the data will be analyzed descriptively from the results of interviews, notes, and observations of researchers. This study used in-depth interviews with each informant. The results of this study indicate that the role of customer service in increasing depositor customer loyalty has carried out the service well and optimally. Savers customer loyalty to PT. Bank Tabungan Negara (Persero) Tbk Denpasar Branch Office is very high. This is evidenced by old customers who continue to save and transact at the bank, with services that make them comfortable making transactions and continuing to use the services of the bank without switching to another bank.
PENGARUH KUALITAS LAYANAN, PROMOSI, MEREK, DAN HARGA TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN PADA TOKO SEPATU HANS SPORT JEMBER
Authors: Ubaidillah R. Hedy , Agustin Agustin , Sauqi Ahmad
Published: January 2024

This study aims to exaimine the effect of service quality, promotion, brand, and price on consumer purchasing decisions at the Hans Sport Jember shoe store. The research data was obtained from distributing questionnaires to the research object using purposive sampling. This type of research is quatitative. The sample used in this study were consumers of the Hans Sport Jember shoe shop with a total of 50 respondents. Data analysis used the Validity Test, Reability Test, Normality Test, multikolinearity test, Heteroscedasticity Test, Coefficient of Determination Test, the T Test, and F Test use the SPSS 25 program. The results of this study indicate that simultaneously service quality, promotion, brand, and price have a significant effect on purchasing decisions.
FAKTOR – FAKTOR YANG MEMENGARUHI FINANCIAL DISTRESS PERUSAHAAN SEKTOR INFRASTRUKTUR
Authors: Ramadhanti Dias Nastiti , Astuti Diana Dwi , Sari Nurshadrina Kartika
Published: January 2024

This study aims to determine the effect of profitability, capital structure, cash flow, gender diversity, and activity ratio on financial distress. The population in this study uses infrastructure sector companies listed on the Indonesia Stock Exchange for the period 2017-2022. This study uses a sampling techniques that is purposive sampling in order to obtain a sample of 19 companies. The data analys method uses multiple linear regression with the help of IBM SPSS Statistics 25. The result of this study indicate that capital structure, cash flow, and activity ratio partially affect on financial distress. Profitability and gender diversity partially have no affect on financial distress. Profitability, capital structure, cash flow, gender diversity, and activity ratios simultaneous affect on financial distress.
ANALISIS SISTEM INFORMASI AKUNTANSI PERSEDIAAN BARANG DAGANG DENGAN MENGGUNAKAN METODE PIECES PADA TOKO RINDANG KHATULISTIWA JEMBER
Authors: Yuliasari Anggi Silvia Putri , Astuti Diana Dwi , Rakhmawati Ratih
Published: January 2024

Penelitian ini bertujuan untuk menganalisis sistem informasi akuntansi persediaan barang dagang di Toko Rindang Khatulistiwa Jember dengan metode PIECES (Performance, Information, Economy, Control, Efeciency, dan Service) merupakan penelitian kualitatif pendekatan dalam analisis data dengan menggunakan studi kasus. Hasil penelitian menunjukkan bahwa pada Aspek Performance sistem akuntansi persediaan telah diintegrasikan dengan sistem pemantauan stok yang akurat, sehingga informasi persediaan yang tersedia selalu terbarui dan akurat. Pada aspek Information, dilengkapi dengan sistem komputer untuk setiap divisi serta mesin scanner untuk bagian kasir dan validasi perangkat hak akses pengguna juga telah diterapkan. Pada aspek Economy, penggunaan Aplikasi Sistem Inventori (ASRI) didapatkan secara gratis dengan biaya perawatan terjangkau. Pada aspek Control, penyimpanan data pada sistem komputer dengan penggunaan password dan username yang berbeda, hanya pengguna yang berwenang yang dapat mengaksesnya namun, pada menu stock opname terdapat kesalahan input yang perlu diperbaiki dengan refresh data agar tetap akurat. Pada aspek Efficiency, jumlah komputer telah dikondisikan dengan baik, tetapi hak dan wewenang yang diberikan ke beberapa bagian menyebabkan kerja berulang dan menghambat efisiensi kerja. Pada aspek Service, sudah menyediakan layanan pemesanan melalui marketplace dan media sosial dengan voucher gratis ongkir untuk pembelian tertentu namun, diperlukan penambahan kasir di lantai dua dan tiga untuk memudahkan transaksi konsumen.
FAKTOR-FAKTOR YANG MEMPENGARUHI KEPATUHAN WAJIB PAJAK DALAM MEMBAYAR PAJAK BUMI DAN BANGUNAN DENGAN SOSIALISASI PAJAK SEBAGAI VARIABEL MODERASI DI DESA LANGKAP KECAMATAN BANGSALSARI JEMBER
Authors: Juliana Elsa , Widagdo Suwignyo , Ilmi Mainatul
Published: January 2024

This study aims to determine the effect of Tax Knowledge, Tax Awareness and Tax Sanctions on Taxpayer Compliance with Tax Socialization as a moderating variable in Langkap Village, Bangsalsari District, Jember. The type of data used in this study is a quantitative method using primary data collected through distributing questionnaires. The population of this study is land and building tax payers in Langkap Village, totaling 100 people. The sampling technique was carried out by simple random sampling technique. The data analysis method used is Multiple Regression Analysis and Moderation Regression Analysis. The results of the study show that Tax Knowledge and Tax Sanctions have an effect on Taxpayer Compliance. While Tax Awareness has no effect on Taxpayer Compliance. As well as Tax Socialization cannot moderate the relationship of Tax Knowledge, Tax Awareness and Tax Sanctions on Taxpayer Compliance
PENGARUH E-COMMERCE, SISTEM INFORMASI AKUNTANSI, DUKUNGAN KELUARGA, DUKUNGAN KAMPUS DAN KETERSEDIAAN MODAL TERHADAP PENGAMBILAN KEPUTUSAN BERWIRAUSAHA (STUDI KASUS PADA MAHASISWA ITS MANDALA)
Authors: Anggraeni Wiwik Dwi , Firdaus Muhammad , Ilmi Mainatul
Published: January 2024

Penelitian ini bertujuan untuk mengetahui pengaruh secara parsial dan simultan pada variabel e-commerce, sistem informasi akuntansi, dukungan keluarga, dukungan kampus, dan ketersediaan modal terhadap pengambilan keputusan berwirausaha. Metode pengolahan data pada penelitian ini menggunakan uji instrumen data yaitu: uji validitas dan uji reliabilitas, uji asumsi klasik yaitu: uji normalitas, uji multikolinieritas, dan uji heteroskedastisitas, analisis linier berganda, hipotesis yaitu: uji F dan uji t, dan koefisiensi determinasi, dengan bantuan alat analisis IMB SPSS versi 25. Pengambilan sampel menggunakan teknik purposive samping dengan menyebarkan kuesioner ke 32 respondon. Hasil penelitian menunjukkan bahwa variabel e- commerce, sistem informasi akuntansi, dukungan keluarga, dukungan kampus dan ketersediaan modal secara simultan berpengaruh signifikan terhadap pengambilan keputusan berwirausaha dan secara parsial variabel e-commerce, dukungan keluarga, dan dukungan kampus tidak berpengaruh signifikan terhadap pengambilan keputusan berwirausaha sedangkan variabel sistem informasi akuntansi dan ketersediaan modal berpengaruh secara parsial berpengaruh terhadap pengambilan keputusan berwirausaha.
ARDaC Common Data Model Facilitates Data Dissemination and Enables Data Commons for Modern Clinical Studies
Authors: Jin Nanxin , Li Zuotian , Kettler Carla , Yang Baijian , Tu Wanzhu , Su Jing
Published: January 2024

Modern clinical studies collect longitudinal and multimodal data about participants, treatments and responses, biospecimens, and molecular and multiomics data. Such rich and complex data requires new common data models (CDM) to support data dissemination and research collaboration. We have developed the ARDaC CDM for the Alcoholic Hepatitis Network (AlcHepNet) Research Data Commons (ARDaC) to support clinical studies and translational research in the national AlcHepNet consortium. The ARDaC CDM bridges the gap between the data models used by the AlcHepNet electronic data capture platform (REDCap) and the Genomic Data Commons (GDC) data model used by the Gen3 data commons framework. It extends the GDC data model for clinical studies; facilitates the harmonization of research data across consortia and programs; and supports the development of the ARDaC. ARDaC CDM is designed as a general and extensible CDM for addressing the needs of modern clinical studies. The ARDaC CDM is available at https://dev.ardac.org/DD.
Design of HL7 FHIR Profiles for Pathology Reports Integrated with Pathology Images
Authors: Lien Chung-Yueh , Ting Tzu-Yun , Kuo Li-Chun , Chung Pau-Choo , Chu Yuan-Chia , Kuo Chen-Tsung
Published: January 2024

This paper describes the development of Health Level Seven Fast Healthcare Interoperability Resource (FHIR) profiles for pathology reports integrated with whole slide images and clinical data to create a pathology research database. A report template was designed to collect structured reports, enabling pathologists to select structured terms based on a checklist, allowing for the standardization of terms used to describe tumor features. We gathered and analyzed 190 non–small-cell lung cancer pathology reports in free text format, which were then structured by mapping the itemized vocabulary to FHIR observation resources, using international standard terminologies, such as the International Classification of Diseases, LOINC, and SNOMED CT. The resulting FHIR profiles were published as an implementation guide, which includes 25 profiles for essential data elements, value sets, and structured definitions for integrating clinical data and pathology images associated with the pathology report. These profiles enable the exchange of structured data between systems and facilitate the integration of pathology data into electronic health records, which can improve the quality of care for patients with cancer.
Interoperability Is a Process – The Data Sharing Framework
Authors: Hund Hauke , Wettstein Reto , Kurscheidt Maximilian , Schweizer Simon T. , Zilske Christoph , Fegeler Christian
Published: January 2024

Common syntax and data semantics are core components of healthcare interoperability standards. However, interoperable data exchange processes are also needed to enable the integration of existing systems between organizations. While solutions for healthcare delivery processes are available and have been widely adopted, support for processes targeting bio-medical research is limited. Our Data Sharing Framework creates a platform to implement research processes like cohort size estimation, reviews and approvals of research proposals, consent checks, record linkage, pseudonymization and data sharing across organizations. The described framework implements a distributed business process engine for executing BPMN 2.0 processes with synchronization and data exchange using FHIR R4 resources. Our reference implementation has been rolled out to 38 organizations across three research consortia in Germany and is available as open source under the Apache 2.0 license.
International Patient Summary Terminology
Authors: Del-Pinto Warren , Schmidt Renate A. , Gao Yongsheng , Alghamdi Ghadah , Osornio Alejandro Lopez , Roy Suzy
Published: January 2024

SNOMED CT is a comprehensive medical ontology used in health care sectors across the world covering a wide range of concepts that support diversity at the point of healthcare. However, not all these concepts are needed for every use case; it is better to concentrate on those parts that apply to the particular application while preserving the meaning of relevant concepts. This paper considers the application of a novel subontology extraction method to create a new resource, called the IPS terminology, which functions as a standalone ontology with the same features as SNOMED CT, but is designed for cross-border patient care. The IPS terminology has been released for free use under an open license, with the intention of promoting interoperability of health information worldwide.
User Centered Rare Disease Clinical Trial Knowledge Graph (RCTKG)
Authors: Yang Jeremy Parker , Leadman Devon , Ballew Richard M. , Sid Eric , Xu Yanji , Mathé Ewy A. , Zhu Qian
Published: January 2024

Drug development in rare diseases is challenging due to the limited availability of subjects with the diseases and recruiting from a small patient population. The high cost and low success rate of clinical trials motivate deliberate analysis of existing clinical trials to understand status of clinical development of orphan drugs and discover new insight for new trial. In this project, we aim to develop a user centered Rare disease based Clinical Trial Knowledge Graph (RCTKG) to integrate publicly available clinical trial data with rare diseases from the Genetic and Rare Disease (GARD) program in a semantic and standardized form for public use. To better serve and represent the interests of rare disease users, user stories were defined for three types of users, patients, healthcare providers and informaticians, to guide the RCTKG design in supporting the GARD program at NCATS/NIH and the broad clinical/research community in rare diseases.
Medication Reconciliation as Repair Work
Authors: Ellingsen Gunnar , Hertzum Morten , Severinsen Gro-Hilde , Wynn Rolf
Published: January 2024

In Norway, the process of developing a national shared medication list has been underway for several years. The shared medication list provides an overview of all the medications used by a patient. However, its proper use requires that it be maintained regularly through so-called medication reconciliation processes in which health personnel clarify – and ask patients – what and how much medication they use. We explore the work embedded in the bedside medication reconciliation process at a hospital, the health personnel conducting this work and the implications for the shared medication list. We argue that reconciliation processes can be conceptualized as collective repair work that needs to be continued after the shared medication list is implemented.
A Five-Step Workflow to Manually Annotate Unstructured Data into Training Dataset for Natural Language Processing
Authors: Zhu Yunshu , Song Ting , Zhang Zhenyu , Yin Mengyang , Yu Ping
Published: January 2024

Natural Language Processing (NLP) is a powerful technique for extracting valuable information from unstructured electronic health records (EHRs). However, a prerequisite for NLP is the availability of high-quality annotated datasets. To date, there is a lack of effective methods to guide the research effort of manually annotating unstructured datasets, which can hinder NLP performance. Therefore, this study develops a five-step workflow for manually annotating unstructured datasets, including (1) annotator training and familiarising with the text corpus, (2) vocabulary identification, (3) annotation schema development, (4) annotation execution, and (5) result validation. This framework was then applied to annotate agitation symptoms from the unstructured EHRs of 40 Australian residential aged care facilities. The annotated corpus achieved an accuracy rate of 96%. This suggests that our proposed annotation workflow can be used in manual data processing to develop annotated training corpus for developing NLP algorithms.
Phenotype Systemic Lupus Erythematosus Patients from EPIC Cosmos
Authors: Patel Jay , Yao Lixia , Vina Ernest , Fleece David , Arundathi Jayatilleke , Caricchio Roberto , Wu Huanmei
Published: January 2024

Systemic Lupus Erythematosus (SLE) is a widespread autoimmune disease for which early diagnosis is paramount in improving clinical outcomes. In this project, we used the de-identified patients from Epic Cosmos to retrieve the ICD code for SLE, checked data quality based on the EULAR/ACR classification systems, created an approach to determine the SLE patients, and performed statistical analyses on lab tests and clinical characteristics. Our preliminary results showed that clinical notes must be reviewed to improve the completeness, as structured EHR data fields provide limited information in determining if a patient meets the established classification criteria.
Case-Reported Data Management Methodology Using an RDF Data Model for Building a Multicenter Clinical Registry
Authors: Ishii Masamichi , Hoshimoto Hiroyuki , Miyo Kengo
Published: January 2024

In multicenter clinical research, case-reported clinical data are managed for each research project. Participating institutions manage the mapping between standardized codes and in-house codes. To use the data extracted from electronic medical records in case report forms, it is necessary to pay attention to the gap in the semantic hierarchy. Managing mapping information between in-house and standardized codes is centralized in Resource Description Framework (RDF) stores. The relationship between standardized and in-house codes is described in RDF and stored in RDF stores. RESTful APIs for accessing RDF stores in SPARQL was developed and verified. The relationship between standardized codes and in-house codes of pharmaceuticals was expressed in RDF triples. As a +result of the operational verification of the implemented APIs, it was confirmed that data management with knowledge bases expressed in RDF graphs is possible. The ability to dynamically modify mapping definitions enables flexible data management and ease of operational restrictions.
Consent Management System on Patient-Generated Health Data
Authors: Randine Pietro , Salant Eliot , Muzny Miroslav , Pape-Haugaard Louise
Published: January 2024

We consent to many things in life, but sometimes we do not know what we consent to. When discussing data protection in Europe, consent has been associated with permission under the GDPR, and health data are highly sensitive. Patients cannot make an informed decision without being provided with the information they need upfront: no informed decision, no informed consent. This paper presents a consent management system for patient-generated health data stored with HL7 FHIR specification, tested on Type 1 diabetes synthetic data. This architecture, based on using FHIR as an unequivocal data exchange format, can lead to individuals (patients) taking control of their data, enabling potential data exchange and reuse of health data across countries and organisations, in line with the European Commission proposal of a European Health Data Space.
Planning for Actionable Precision Medicine
Authors: Cimino James J.
Published: January 2024

Genome-guided precision medicine applies consensus recommendations to the care of patients with particular genetic variants. As electronic health records begin to include patients’ genomic data, recommendations will be formulated at an increasing rate. This study examined recommendations related to the current list of 73 actionable genes compiled by the American College of Medical Genetics and Genomics and found that conditions fall generally into five classes (cardiovascular, medication interactions, metabolic, neoplastic, and structural), with recommendations falling into seven categories (actions or circumstances to avoid, evaluation of relatives at risk, pregnancy management, prevention of primary manifestations, prevention of secondary complications, surveillance, and treatment of manifestations). This study represents a first step in facilitating automated, scalable clinical decision support and provides direction on formal representation of the contexts and actions for clinical recommendations derived from genome-informed learning health systems.
How Are Clinicians’ Acceptance and Use of Clinical Decision Support Systems Evaluated Over Time? A Systematic Review
Authors: Newton Nicki , Bamgboje-Ayodele Adeola , Forsyth Rowena , Tariq Amina , Baysari Melissa T.
Published: January 2024

Clinical decision support systems (CDSS) can enhance the safety and quality of patient care, but their benefits are often hampered by low acceptance and use by clinicians in practice. Existing research has explored clinicians’ experiences with CDSS in a static nature, with limited consideration of how user needs may change over time. This review aimed to identify the methods used to capture clinicians’ acceptance and use of CDSS in hospital settings at different time points following implementation and highlight gaps to inform future work. Seventy-six studies met inclusion criteria. Qualitative methods were rarely used during the early implementation phases, particularly in the first 2 months following implementation. Further work is needed to understand clinicians’ experiences immediately following implementation of CDSS and how these insights can be used to support use over time.
How Well Do AI-Enabled Decision Support Systems Perform in Clinical Settings?
Authors: Susanto Anindya Pradipta , Lyell David , Widyantoro Bambang , Berkovsky Shlomo , Magrabi Farah
Published: January 2024

Real-world performance of machine learning (ML) models is crucial for safely and effectively embedding them into clinical decision support (CDS) systems. We examined evidence about the performance of contemporary ML-based CDS in clinical settings. A systematic search of four bibliographic databases identified 32 studies over a 5-year period. The CDS task, ML type, ML method and real-world performance was extracted and analysed. Most ML-based CDS supported image recognition and interpretation (n=12; 38%) and risk assessment (n=9; 28%). The majority used supervised learning (n=28; 88%) to train random forests (n=7; 22%) and convolutional neural networks (n=7; 22%). Only 12 studies reported real-world performance using heterogenous metrics; and performance degraded in clinical settings compared to model validation. The reporting of model performance is fundamental to ensuring safe and effective use of ML-based CDS in clinical settings. There remain opportunities to improve reporting.
Individual Activity Anomaly Estimation in Operating Rooms Based on Time-Sequential Prediction
Authors: Yokoyama Koji , Yamamoto Goshiro , Liu Chang , Kishimoto Kazumasa , Mori Yukiko , Kuroda Tomohiro
Published: January 2024

Surveillance videos of operating rooms have potential to benefit post-operative analysis and study. However, there is currently no effective method to extract useful information from the long and massive videos. As a step towards tackling this issue, we propose a novel method to recognize and evaluate individual activities using an anomaly estimation model based on time-sequential prediction. We verified the effectiveness of our method by comparing two time-sequential features: individual bounding boxes and body key points. Experiment results using actual surgery videos show that the bounding boxes are suitable for predicting and detecting regional movements, while the anomaly scores using key points can hardly be used to detect activities. As future work, we will be proceeding with extending our activity prediction for detecting unexpected and urgent events.
Blood Culture Ordering After Sepsis Alerts and Subsequent Patient Outcomes: An Electronic Health Record-Based Study
Authors: Li Ling , Rathnayake Kasun , Walter Scott , Fullick Mary , Shetty Amith , Hudson Paul , Lander Harvey , Westbrook Johanna I.
Published: January 2024

Sepsis is a global health priority associated with high mortality. Clinical decision support systems have been developed to support clinicians with sepsis management. Ordering blood cultures (BCs) for suspected sepsis patients are strongly recommended by clinical guidelines. However, limited evidence exists investigating BC ordering following sepsis alerts and subsequent patient outcomes. This study aimed to investigate this issue using electronic health record data from an acute care hospital in Australia. Of 4,092 patients, only 16.6% had a BC ordered following a sepsis alert. The median time from the first sepsis alert to a BC order was 15.3 hours. Patients had 5.89 times higher odds of being diagnosed with sepsis if a BC was ordered following a sepsis alert than those without BC ordered (p<0.0001). Further investigation is needed to understand reasons behind the delay or failure to order a BC despite receiving electronic sepsis alerts and how decision support can be optimized to improve patient outcomes.
Construction of a Prediction Model for Voriconazole-Induced Hepatotoxicity Based on Mixed-Effects Random Forest
Authors: Tong Danyang , Wang Yu , Ma Jing , Wang Jiaqi , Li Jingsong
Published: January 2024

Voriconazole is a second-generation triazole antifungal agent with strong antifungal activity against a variety of clinically significant pathogens. Controlling blood concentrations within guideline limits through blood concentration monitoring can reduce the probability of hepatotoxicity in patients with voriconazole. However, statistical analysis based on real-world data found that there were still several patients who had blood concentration monitoring developed voriconazole induced hepatotoxicity. Therefore, it has important clinical significance to predict whether hepatotoxicity will occur in patients who meet the guidelines for voriconazole plasma concentration requirements. In this study, based on real-world data, the mixed-effects random forest was used to analyze the electronic medical record data of patients who met the guidelines for voriconazole blood concentration requirements during hospitalization, and a predictive model was constructed to predict whether patients would develop hepatotoxicity within 30 days after using voriconazole.
Digital Health Safety Matters: A Promising Practice Study into the Adoption of Patient Safety Guidelines in Australia
Authors: Andison Melissa
Published: January 2024

A foundation for digitally enabling healthier living is the safe development and use of technology. The practice of digital health safety has emerged from patient harm attributed to failing technologies. The study aimed to investigate how to adopt and implement digital health safety guidelines at scale. Data was collected through an online survey, semi-structured interviews, focus groups, document review, and data mining of artefacts. The findings of this study capture the emerging practice from Australia in a way that offers insights into the problem of practice, patient safety practice, safety culture, and socio-technical factors. The research findings contribute to better understanding of the complexities of balancing digital innovation with patient safety. The four recommendations from the study and the provision of a logic model will support the audience to implement actions toward a safer digital health ecology.