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All Journal dCartesian: Jurnal Matematika dan Aplikasi d'Cartesian: Jurnal Matematika dan Aplikasi INTECH - Informatika Dan Teknologi
Mans L. Mananohas
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Computer Science & IT Mathematics

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Prediksi Harga Saham Kimia Farma dan Saham Netflix di Era New Normal Menggunakan Model Autoregressive Integrated Moving Average (ARIMA) Gerral Mokosolang; Yohanes A.R. Langi; Mans L. Mananohas
d'CARTESIAN:Jurnal Matematika dan Aplikasi Vol 11, No 1 (2022) Maret 2022
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Autoregressive Integrated Moving Average (ARIMA) merupakan salah satu model peramalan yang berbasis time series yang dikembangkan oleh George E. P. Box dan Gwilym M. Jenkins pada tahun 1976. Penelitian ini menggunakan data sekunder yang di ambil dari website resmi yahoo finance berupa harga saham PT. Kimia Farma, Tbk periode 1 Januari 2019 sampai 28 Februari 2021 dan saham Netflix, Inc pada periode waktu 1 Januari 2020 sampai 28 Februari 2021. Hasil dari penelitian ini menunjukkan Harga saham hasil forecasting model ARIMA (0,1,1) saham Kimia Farma, cenderung mengalami kenaikan untuk tiga bulan kedepan sedangkan Harga saham hasil forecasting ARIMA (1,1,1) saham Netflix, cukup akurat dalam memprediksikan harga saham Netflix selama tiga bulan kedepan.
Penerapan Model Autoregressive Integrated Moving Average (ARIMA) untuk Memprediksi Harga Penutupan Saham Bulanan AMRT.JK Hafizh Raihansyah; Marline S. Paendong; Mans L. Mananohas
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 13 No. 1 (2024): Maret 2024
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.13.1.2024.54224

Abstract

Tujuan penelitian ini adalah Menerapkan Model Autoregressive Integrated Moving Average (ARIMA) untuk memprediksi harga penutupan saham bulanan PT Sumber Alfaria Tridjaya Tbk (AMRT.JK). Data yang digunakan adalah data bulanan harga penutupan saham dari bulan Januari 2018 sampai Desember 2022. Hasil dari penelitian ini menunjukkan bahwa ada beberapa model yang dapat digunakan untuk memprediksi, yaitu model ARIMA (1,1,0), ARIMA (0,1,1) dan ARIMA (1,1,1). Dari ketiga model, model ARIMA (1,1,1) cukup baik untuk memprediksi harga penutupan saham bulanan PT Sumber Alfaria Tridjaya Tbk dengan nilai MSE terkecil yaitu sebesar 22.682 dan juga nilai Mean Absolute Percentage Error (MAPE) sebesar 8%. Hasil peramalan meningkat dari periode-periode sebelumnya.
Prediksi Harga Saham Kimia Farma dan Saham Netflix di Era New Normal Menggunakan Model Autoregressive Integrated Moving Average (ARIMA) Gerral Mokosolang; Yohanes A.R. Langi; Mans L. Mananohas
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol 11, No 1 (2022) Maret 2022
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Autoregressive Integrated Moving Average (ARIMA) merupakan salah satu model peramalan yang berbasis time series yang dikembangkan oleh George E. P. Box dan Gwilym M. Jenkins pada tahun 1976. Penelitian ini menggunakan data sekunder yang di ambil dari website resmi yahoo finance berupa harga saham PT. Kimia Farma, Tbk periode 1 Januari 2019 sampai 28 Februari 2021 dan saham Netflix, Inc pada periode waktu 1 Januari 2020 sampai 28 Februari 2021. Hasil dari penelitian ini menunjukkan Harga saham hasil forecasting model ARIMA (0,1,1) saham Kimia Farma, cenderung mengalami kenaikan untuk tiga bulan kedepan sedangkan Harga saham hasil forecasting ARIMA (1,1,1) saham Netflix, cukup akurat dalam memprediksikan harga saham Netflix selama tiga bulan kedepan.
Penerapan Model Autoregressive Integrated Moving Average (ARIMA) untuk Memprediksi Harga Penutupan Saham Bulanan AMRT.JK Hafizh Raihansyah; Marline S. Paendong; Mans L. Mananohas
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 13 No. 1 (2024): Maret 2024
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.13.1.2024.54224

Abstract

Tujuan penelitian ini adalah Menerapkan Model Autoregressive Integrated Moving Average (ARIMA) untuk memprediksi harga penutupan saham bulanan PT Sumber Alfaria Tridjaya Tbk (AMRT.JK). Data yang digunakan adalah data bulanan harga penutupan saham dari bulan Januari 2018 sampai Desember 2022. Hasil dari penelitian ini menunjukkan bahwa ada beberapa model yang dapat digunakan untuk memprediksi, yaitu model ARIMA (1,1,0), ARIMA (0,1,1) dan ARIMA (1,1,1). Dari ketiga model, model ARIMA (1,1,1) cukup baik untuk memprediksi harga penutupan saham bulanan PT Sumber Alfaria Tridjaya Tbk dengan nilai MSE terkecil yaitu sebesar 22.682 dan juga nilai Mean Absolute Percentage Error (MAPE) sebesar 8%. Hasil peramalan meningkat dari periode-periode sebelumnya.
Perancangan dan Evaluasi Usability UI/UX Aplikasi Manajemen Produksi Budidaya Sarang Burung Walet Menggunakan Metode Design Thinking (Studi Kasus: CV Mega Walet Sejahtera) Ivanka A. J. Pasanda; Mans L. Mananohas; Stephano C. W. Ngangi
INTECH Vol. 7 No. 1 (2026): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v7i1.3436

Abstract

CV Mega Walet Sejahtera still manages the recording and production management process of edible bird’s nest cultivation manually using Microsoft Excel and separate communication media, causing delays in reporting, difficulties in data recapitulation, and inefficient production monitoring and evaluation processes. This study aims to design and evaluate the usability of a UI/UX prototype for an edible bird’s nest production management application using the Design Thinking method. The research applied a mixed methods approach through interviews, observations, usability testing, and the System Usability Scale (SUS) questionnaire. The design process was carried out through the stages of empathize, define, ideate, prototype, and testing. The application prototype was designed using Figma and tested using the Maze platform involving seven respondents consisting of the business owner and field workers. The results showed that the application prototype achieved a very good level of usability based on Nielsen’s five usability attributes, namely learnability, efficiency, memorability, errors, and satisfaction. The SUS testing produced an average score of 87.7, which falls into the best imaginable category and is considered acceptable. In addition, the MAUS testing results obtained scores of 93 for the owner and 89 for the workers. These findings indicate that the Design Thinking method successfully produced a UI/UX design that meets user needs and supports more effective and user-friendly production recording, reporting, and monitoring processes.
Perancangan dan Evaluasi Usability UI/UX Aplikasi Manajemen Produksi Budidaya Sarang Burung Walet Menggunakan Metode Design Thinking (Studi Kasus: CV Mega Walet Sejahtera) Ivanka A. J. Pasanda; Mans L. Mananohas; Stephano C. W. Ngangi
INTECH Vol. 7 No. 1 (2026): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v7i1.3436

Abstract

CV Mega Walet Sejahtera still manages the recording and production management process of edible bird’s nest cultivation manually using Microsoft Excel and separate communication media, causing delays in reporting, difficulties in data recapitulation, and inefficient production monitoring and evaluation processes. This study aims to design and evaluate the usability of a UI/UX prototype for an edible bird’s nest production management application using the Design Thinking method. The research applied a mixed methods approach through interviews, observations, usability testing, and the System Usability Scale (SUS) questionnaire. The design process was carried out through the stages of empathize, define, ideate, prototype, and testing. The application prototype was designed using Figma and tested using the Maze platform involving seven respondents consisting of the business owner and field workers. The results showed that the application prototype achieved a very good level of usability based on Nielsen’s five usability attributes, namely learnability, efficiency, memorability, errors, and satisfaction. The SUS testing produced an average score of 87.7, which falls into the best imaginable category and is considered acceptable. In addition, the MAUS testing results obtained scores of 93 for the owner and 89 for the workers. These findings indicate that the Design Thinking method successfully produced a UI/UX design that meets user needs and supports more effective and user-friendly production recording, reporting, and monitoring processes.
Co-Authors Gerral Mokosolang Hafizh Raihansyah Ivanka A. J. Pasanda Marline Paendong Stephano C. W. Ngangi Yohanes A.R. Langi