Judul: Analisis Penilaian Harga Saham untuk Pengambilan Keputusan Investasi (Studi Kasus Perusahaan Subsektor Perbankan)
Abstrak: Pasar modal mempunyai karakteristik High Risk High Return. Minat investasi masyarakat di Indonesia terus meningkat setiap tahunnya khususnya minat investasi terhadap pasar modal, minat masyarakat dalam berinvestasi meningkat hingga 92,99% pada tahun 2021. Investor dalam berinvestasi seringkali menunjukkan perilaku yang bersifat irasional dalam pengambilan keputusan investasi. Ketika melakukan investasi terkadang investor overconfidence dan berperilaku herding dalam pengambilan keputusan investasi. Dalam meminimalisir risiko kerugian diperlukan analisis penilaian saham dengan analisis fundamental dan analisis teknikal untuk mengetahui nilai saham. Penelitian ini bertujuan untuk menganalisis nilai intrinsik saham pada perusahaan subsektor perbankan dengan menggunakan metode Price Earning Ratio (PER), Dividend Discount Model (DDM), dan Price to Book Value (PBV), serta menganalisis tingkat keakuratan dengan analisis Root Mean Square Error (RMSE). Jenis data yang digunakan adalah data kuantitatif. Data sekunder didapatkan dari laporan keuangan Bursa Efek Indonesia. Teknik pengambilan sampel yaitu purposive sampling. Hasil penelitian berdasarkan pendekatan PER, DDM dan PBV investor disarankan untuk membeli sebelas saham undervalued yaitu, BBCA, BBNI, BBRI, BDMN, BJBR, BJTM, BMRI, BNBA, BNII, MEGA, dan SDRA pada tahun 2021. Berdasarkan analisis RMSE metode Price Earning Ratio (PER) dan Dividend Discount Model (DDM) merupakan metode penilaian harga saham yang lebih akurat., The capital market has the characteristics of High Risk High Return. Public investment interest in Indonesia continues to increase every year, especially investment interest in the capital market, public interest in investing increases to 92.99% in 2021. Investors in investing often show irrational behavior in making investment decisions. When making investments, investors are sometimes overconfident and behave herding in making investment decisions. In minimizing the risk of loss, stock valuation analysis is needed with fundamental analysis and technical analysis to determine the stock value. This study aims to analyze the intrinsic value of shares in the banking sub-sector companies using the Price Earning Ratio (PER), Dividend Discount Model (DDM), and Price to Book Value (PBV) methods, and analyze the level of accuracy with Root Mean Square Error (RMSE) analysis. The type of data used is quantitative data. Secondary data is obtained from the financial statements of the Indonesia Stock Exchange. The sampling technique is purposive sampling. The results of the study based on the PER, DDM and PBV approaches investors are advised to buy eleven undervalued stocks, namely, BBCA, BBNI, BBRI, BDMN, BJBR, BJTM, BMRI, BNBA, BNII, MEGA, and SDRA in 2021. Based on RMSE analysis of the Price Earning method Ratio (PER) and Dividend Discount Model (DDM) are more accurate stock price valuation methods.
Keyword: Price Earning Ratio (PER), Dividend Discount Model (DDM), Price to Book Value (PBV), Stock Price, Root Mean Square Error (RMSE)

Judul: Analysis using Price Earnings Ratio and Price Book Value Method
Abstrak: Angka investor pasar modal Indonesia terus mengalami peningkatan dalam kurun waktu beberapa tahun terakhir. Berdasarkan acuan data dari Kustodian Sentral Efek Indonesia (KSEI), jumlah investor dalam negeri telah mencapai angka 7,48 juta pada 2021. Selama masa pandemi, harga saham mengalami fluktuasi yang cukup tinggi. Pada awal pandemi COVID-19, Indeks Harga Saham Gabungan (IHSG) mengalami penurunan. Subsektor farmasi dinilai berhasil menjadi penyokong nilai IHSG di masa pandemi. Studi ini bertujuan untuk menganalisis nilai saham subsektor farmasi dengan metode Price Earnings Ratio (PER) dan Price Book Value (PBV). Hasil penelitian analisis penilaian saham dengan pendekatan PER menunjukkan saham DVLA, KAEF, KLBF, MERK, dan SIDO berada pada posisi undervalued. Analisis menggunakan PBV menunjukkan saham DVLA, KAEF, dan MERK berada pada kategori murah di antara saham sektornya., The number of Indonesian capital market investor has continued to increase over the last few years. Based on the data from The Indonesia Central Securities Depository (KSEI), domestic investor has reached the number of 7.48 million on 2021. This means that the number went up three times from how it was in 2019. During the pandemic, stock price has been facing major fluctuations. At the start of COVID-19, IDX composite faced a big decline rate. Pharmaceutical stocks have been seen to be able to work as a buffer during the pandemic. This study aims to analyze the stock value of pharmaceutical stocks using Price Earnings Ratio (PER) and Price Book Value (PBV) methods. The results of this study shows that DVLA, KAEF, KLBF, MERK, and SIDO stocks is valued in the undervalued category when analyzed using PER method. PBV analysis shows that DVLA, KAEF, and MERK falls on relatively cheap or undervalued range.
Keyword: Penilaian Saham, analisis fundamental, sektor farmasi, fundamental analysis, pharmaceutical stocks, price earnings ratio, price book value

Judul: Penyusunan Overlap Graph menggunakan Suffix Tree pada DNA Sequence
Abstrak: The DNA sequence assembly is very important in genome analysis. This step aims to reconstruct contigous DNA fragment (contigs) from short fragment by concatenating fragments based on the overlap region among them. This method employs overlap graph for solving the problems. In this graph, nodes represent fragments and edges represent overlap. This research developed a software for constructing overlap graph using suffix tree. The evaluation was conducted by measuring the number of nodes, number of edges, and the execution time in many values of minimum overlap. The minimum overlap is defined as the minimum length of substring which is considered as the overlap region between two fragments. The evaluation results showed that the number of nodes, the number of edges, and the execution time were increased with the decreasing of the minimum overlap value.
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