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All Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Teknik Industri Terintegrasi (JUTIN) Journal Transformation of Mandalika
Sulistiyaningsih, Febriani
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Physics

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Rancang Desain User Interface Digital Platform Logistik PT Pos Indonesia Sulistiyaningsih, Febriani; Fayaqun, Reza; Numang, Irpan
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 4 (2023): Oktober 2023
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v5i4.1071

Abstract

PT Pos Indonesia is the oldest Badan Usaha Milik Negara (BUMN) in Indonesia. PT Pos Indonesia is known as a state-owned company operating in the logistics sector. This is because the core business of PT Pos Indonesia is a service for sending goods from one place to another, apart from selling stamps, sending money and so on. The development of technology and information has really helped the business processes at PT Pos Indonesia by providing various applications that are used, but the many applications available are not all integrated with one another. So in this research, a logistics platform design plan was carried out which will later integrate existing applications or systems at PT Pos Indonesia. This design will be in the form of a user interface, which is the design of the system interface. This research uses the System Development Life Cycle (SDLC) or waterfall method which has clear stages.
Sistem Pendukung Keputusan dalam Menentukan Kelayakan Pinjaman Karyawan Menggunakan AHP-TOPSIS pada PT XYZ Sulistiyaningsih, Febriani
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 7 No 1 (2025): Januari 2025
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v7i1.1565

Abstract

A decision support system is a system used by top level managers in making decisions. The decision support system has several methods that can be used, including the AHP and TOPSIS methods. The AHP (Analytical Hierarchy Process) method is a decision making method that focuses more on calculating criteria weights. Meanwhile, the TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) is a decision-making method that is suitable for calculating final results and rankings. Determining employee loan eligibility using the AHP and TOPSIS methods produces objective values ​​because the criteria weights and final results are calculated according to the method used.
Pengaruh Model Pembelajaran Direct Instruction Terhadap Hasil Belajar Pelatihan Digital Marketing di Lembaga Pelatihan Ketenagakerjaan PT ABC Kurniyawan, Kurniyawan; Yanuar, Amri; Sulistiyaningsih, Febriani
Journal Transformation of Mandalika, e-ISSN: 2745-5882, p-ISSN: 2962-2956 Vol. 4 No. 9 (2023): September
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jtm.v4i9.2081

Abstract

Pentingnya peran lembaga pelatihan ini bertujuan untuk meningkatkan kemampuan. Kemampuan yang dikenal juga sebagai kompetensi pekerjaan adalah hal yang harus dimiliki oleh setiap individu. Ini mencakup keterampilan, pengetahuan, dan sikap kerja. Kompetensi kerja terdiri dari hardskill dan softskill. Hardskill terkait dengan kemampuan dalam aspek kognitif dan keahlian khusus berdasarkan disiplin ilmu tertentu, sementara softskill merujuk pada perilaku interpersonal yang diperlukan untuk mengembangkan dan mengoptimalkan kinerja. Meningkatkan hardskill dan softskill, individu memiliki peluang yang lebih besar untuk mengembangkan pengetahuan dan keahliannya, yang pada akhirnya dapat membawa keberhasilan dan kesuksesan di masa depan. Tujuan penelitian yang akan dicapai dalam penelitian ini ialah guna mengetahui pengaruh hasil belajar pelatihan digital marketing peserta didik LPK PT ABC dengan menggunakan model pengajaran langsung (Direct instruction/DI). Penelitian ini metode yang digunakan oleh peneliti yaitu metode statistik dimana metode statistik metode statistik digunakan untuk menguji hubungan antara dua atau lebih variabel dan memberikan pemahaman tentang apakah suatu variabel memiliki pengaruh signifikan terhadap variabel lainnya. Penelitian ini memiliki implikasi penting bagi lembaga pelatihan ketenagakerjaan PT ABC dan instansi terkait, seperti dinas ketenagakerjaan Kota Tangerang, karena menyediakan informasi yang dapat digunakan dalam pengembangan program pelatihan di masa depan. Selain itu, temuan ini juga mendukung gagasan bahwa pendekatan model pembelajaran direct instruction memiliki aplikabilitas yang luas dalam meningkatkan pemahaman dan pengetahuan peserta dalam berbagai konteks pembelajaran.
Penerapan Metode Multiplicative Decomposition (Seasonal) Untuk Peramalan Produksi Al-Qur’an Fayaqun, Reza; Sumarna, Dani Leonidas; Sulistiyaningsih, Febriani
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.49153

Abstract

Production planning is crucial for companies, especially for best-selling products. The B5-sized Qur'an is a best-selling product, especially around Eid al-Fitr and major Muslim holidays. Fluctuations in demand, which tend to fluctuate, force Qur'an-producing companies to plan production in a measurable manner. This is absolutely essential to ensure that production output can meet future demand. A suitable method for forecasting production with such a demand pattern is Multiplicative Decomposition (Seasonal). This method is often used not only to generate forecasts but also to generate information regarding the components of time series and the appearance of various factors, such as trends, cycles, seasonality, and irregularities in the observed results. The results of the forecasting calculations using the Multiplicative Decomposition method show that the MAD value is 240.84, MSE 89,811.47 and MAPE 0.1 or 10% where the MAPE error is relatively small, below 20%, so it is hoped that the Multiplicative Decomposition method can be used as a method for forecasting the production of B5-sized Al-Qur'ans in the future period. 
Co-Authors Dani Leonidas Sumarna Fayaqun, Reza Kurniyawan, Kurniyawan Numang, Irpan Yanuar, Amri