Judul: Penggerombolan Perusahaan Budidaya Ikan di Indonesia dengan Metode K-Prototypes, Two Step Cluster (TSC), dan Gower
Abstrak: Subsektor perikanan memegang peranan yang penting terhadap perekonomian Indonesia. Perikanan dibagi menjadi dua, yaitu perikanan tangkap dan perikanan budidaya. Namun, perikanan budidaya lebih mendominasi terkait produksi perikanan nasional dibanding perikanan tangkap. Sumber produksi utama perikanan budidaya yaitu melalui perusahaan budidaya ikan. Pada tahun 2018 terdapat 258 perusahaan budidaya ikan berbadan hukum yang aktif di Indonesia dan diperoleh melalui Laporan Tahunan Perusahaan Budidaya Ikan yang dilakukan oleh Badan Pusat Statistik (BPS). Setiap perusahaan budidaya ikan memiliki karakteristik yang berbeda-beda, terutama mengenai keadaan perekonomian dan perkembangan usahanya, sehingga perlu dilakukan penggerombolan untuk lebih mudah memahami kondisi perusahaan-perusahaan tersebut melalui karakteristik gerombol yang dihasilkan. Salah satu metode statistik yang dapat dilakukan yaitu analisis gerombol (cluster analysis). Analisis gerombol klasik biasanya hanya dapat digunakan untuk pengolahan satu tipe data saja, yaitu tipe data numerik saja atau tipe data kategorik saja. Penelitian ini melibatkan 21 peubah, yaitu 8 peubah kategorik dan 13 peubah numerik. Oleh karena itu diperlukan metode penggerombolan yang tepat untuk melakukan penggerombolan perusahaan budidaya ikan di Indonesia. Beberapa metode yang dapat digunakan, yaitu K-Prototypes, Two Step Cluster, Metode Gower, Cluster Ensemble, dan Latent Class Cluster. Namun, penelitian ini hanya membatasi penggunaan dari tiga metode penggerombolan, yaitu K-Prototypes, Two Step Cluster (TSC), dan Gower. Hasil menunjukkan bahwa metode K-Prototypes merupakan metode penggerombolan perusahaan budidaya ikan terbaik dibanding metode TSC dan Gower. Hal ini dikarenakan metode ini menghasilkan nilai rasio antara keragaman di dalam gerombol dan keragaman antar gerombol yang paling kecil. Jumlah gerombol perusahaan budidaya ikan yang terbentuk yaitu sebanyak 6 gerombol. Jumlah anggota gerombol 1 sebanyak 8 anggota, gerombol 2 sebanyak 65 anggota, gerombol 3 sebanyak 19 anggota, gerombol 4 sebanyak 75 anggota, gerombol 5 sebanyak 14 anggota, dan gerombol 6 sebanyak 77 anggota., The fisheries subsector plays an important role in the Indonesian economy. Fisheries are divided into two, namely capture fisheries and aquaculture fisheries. However, the aquaculture fisheries dominates more than the capture fisheries in terms of national fisheries production. The main source of aquaculture production is through the aquaculture fisheries companies. In 2018 there were 258 aquaculture fisheries companies with legal entities that were active in Indonesia and they were obtained through the Annual Report of Aquaculture Fisheries Companies that conducted by the Statistics Indonesia (BPS). Each aquaculture fisheries company has different characteristics, especially regarding to the state of the economy and the development of its business, so clustering is necessary to more easily understand the conditions of these companies through the characteristics of the resulting clusters. One of the statistical methods that can be done is cluster analysis. Usually the classical cluster analysis only can be used for processing one data type, namely numerical data types or categorical data types. This study involved 21 variables, 8 categorical variables and 13 numerical variables. Therefore, appropriate clustering methods are needed to cluster the aquaculture fisheries companies in Indonesia. Several methods can be used, they were K-Prototypes, Two Step Cluster (TSC), Gower Method, Cluster Ensemble, and Latent Class Cluster. However, this study only limits the use of three clustering methods, namely K-Prototypes, Two Step Cluster (TSC), and Gower. The results show that the
Keyword: analisis gerombol, gower, k-prototypes, perusahaan budidaya ikan, two step cluster, cluster analysis, gower, k-prototypes, aquaculture fisheries companies, two step cluster

Judul: Analysis of Financial Performance and Bankruptcy Level of Fishery Subsector Companies
Abstrak: OVI APRICILIA. Analisis Kinerja Keuangan dan Tingkat Kebangkrutan Perusahaan Subsektor Perikanan. Dibimbing oleh RINDANG MATOATI. Sektor pertanian, kehutanan dan perikanan merupakan satu-satunya sektor yang memiliki laju pertumbuhan usaha yang selalu positif selama periode 2019 hingga 2022. Subsektor perikanan merupakan bagian sektor pertanian, kehutanan, dan perikanan memiliki laju pertumbuhan terbesar selama periode 2019 hingga 2023. Pertumbuhan tersebut didukung dengan bentuk negara Indonesia yang 62% dari total luas wilayahnya merupakan perairan. 4 dari 6 perusahaan perikanan yang go public pernah mengalami laba negatif selama periode 2019 hingga 2023 sehingga diperlukan analisis lebih lanjut terkait kinerja keuangan menggunakan rasio keuangan dan tingkat kebangkrutan menggunakan Altman’s Z-Score. Penelitian dilaksanakan pada bulan Maret 2024 hingga Juni 2024 menggunakan data laporan keuangan tahunan. Hasil penelitian ini menunjukkan bahwa kinerja keuangan terbaik ada di perusahaan PT Era Mandiri Cemerlang Tbk. dan Dharma Samudra Fishing Industries. Kinerja keuangan terburuk ada pada perusahaan PT Dua Putra Utama Makmur Tbk. Analisis Altman’s Z-Score juga mendukung bahwa perusahaan PT Dua Putra Utama Makmur Tbk. memiliki tingkat kebangkrutan tertinggi. Kata kunci: altman’s z-score , kebangkrutan, kinerja keuangan, perikanan, rasio keuangan, saham, OVI APRICILIA. Analysis of Financial Performance and Bankruptcy Level of Fishery Subsector Companies. Supervised by RINDANG MATOATI. The agriculture, forestry, and fisheries sector was the only sector that had a positive business growth rate from 2019 to 2022. The fisheries subsector, as part of the agriculture, forestry, and fisheries sector, had the largest growth rate during the period from 2019 to 2023. This growth was supported by the shape of Indonesia, with 62% of its total area being water. Four out of six fisheries companies that went public experienced negative profits during the period from 2019 to 2023, indicating the need for further analysis regarding financial performance using financial ratios and bankruptcy rates based on Altman's Z-Score. The research was conducted from March 2024 to June 2024 using annual financial report data. The results of this study indicated that the best financial performance was in the companies PT Era Mandiri Cemerlang Tbk. and Dharma Samudra Fishing Industries. The worst financial performance was in the company PT Dua Putra Utama Makmur Tbk. Altman's Z-Score analysis also supported that the company PT Dua Putra Utama Makmur Tbk. had the highest bankruptcy rate. Keywords: altman's z-score, bankruptcy, financial performance, financial ratios, stocks, fisheries
Keyword: Kebangkrutan, kinerja keuangan, Perikanan, Rasio Keuangan, saham, altman’s z-score

Judul: Thermal-Solarimeter Calibration Various Measurements
Abstrak: Sun radiation is a primary energy source for physical atmospheric processes that determine weather and climate conditions. Those sun radiation energy is in the form of electromagnetic wave which if it reaches earth surface, it can change into thermal/heat energy. Thermal/heat energy was measured by “black body” absorbance media , with LM35 as its sensor, and Printed Circuit Board (PCB) as the material. Metal was painted by black coloured pain so that it can be ale to catch the thermal energy well. This research’s aim is to see the efectivity of “black body” absorbance media area size with various diameter sizes, namely, 10 cm, 9 cm, 8 cm, 7 cm, 6 cm, and 5 cm and the relation between “black body” absorbance media area with accumulated thermal. Solarimeter sensor is used as calibrator with its sensitivity15 μV/watt/m, so that 1 mV/watt/m2 equal to 66,7 watt/m2 . The result of this research indicates that that “black-body” temperature sensor with its diameter size 5 cm has the highest effectivity, compared with other sensors. Black-body sensor area is not directly proportionally/liniearly followed by the accumulated thermal. Bigger area size of “black body” absorbance media, bigger accumulated thermal, but it wouldn’be linear.
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