Jurnal Sisfokom (Sistem Informasi dan Komputer)
Jurnal Sisfokom merupakan singkatan dari Jurnal Sistem Informasi dan Komputer. Jurnal ini merupakan kolaborasi antara sivitas akademika STMIK Atma Luhur dengan perguruan tinggi maupun universitas di Indonesia. Jurnal ini berisi artikel ilmiah dari peneliti, akademisi, serta para pemerhati TI. Jurnal Sisfokom diterbitkan 2 kali dalam setahun yaitu pada bulan Maret dan September. Jurnal ini menyajikan makalah dalam bidang ilmu sistem informasi dan komputer.
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<![CDATA[Sistem Penerimaan Asisten Laboratorium Komputer Dengan Menggunakan Metode Analytical Hierarcy Process (AHP) Dan Simple Multi Attribute Rating Technique (SMART) ]]>
<![CDATA[Supardi, Supardi]]>;
<![CDATA[Mahdiana, Deni]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
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DOI: 10.32736/sisfokom.v12i1.1619
<![CDATA[ISB Atma Luhur untuk mendukung perkuliahan memiliki laboratorium komputer. Laboratorium komputer yang dapat mendukung dalam perkembangan ilmu pengetahuan dan teknologi informasi serta praktek dibidang pendidikan. Laboratorium komputer memiliki laboran yang terdiri dari kepala laboratorium, kepala bagian laboratorium bahasa, teknisi, supervisor dan asisten laboratorium komputer. Permasalahan kepala laboratorium komputer kesulitan menilai kemampuan calon asisten laboratorium komputer yang memiliki kemampuan tidak jauh berbeda. Perhitungan nilai akhir menggunakan metode nilai rata-rata (mean) jadi semua kriteria dianggap sama besar bobot tingkat kepentingannya sehingga tidak bisa mengetahui besar bobot kriteria yang mana yang lebih penting efeknya banyak asisten laboratorium komputer yang diterima tidak memahami materi yang diajarkan dosen yang mengajar praktikum sehingga asisten tersebut tidak bisa membantu dan mendampingi mahasiswa pada saat perkuliahan di laboratorium komputer. Tujuan penelitian adalah menerapkan metode AHP dan SMART untuk menerima asisten laboratorium komputer sehingga dapat menentukan bobot kriteria dan rangking calon asisten laboratorium komputer yang akan direkrut, membuat model sistem pendukung keputusan untuk menerima asisten laboratorium komputer dengan penggunaan metode AHP dan SMART yang sesuai kebutuhan dan valid serta untuk penerimaan user dengan baik. Metode yang digunakan yaitu metode Analytical Hierarcy Process (AHP) dan Simple Multi Attribute Rating Technique (SMART). Penerapan Metode AHP dan SMART dapat menentukan nilai bobot kriteria Nilai Indeks Prestasi Kumulatif (IPK) sebesar 0,44, Sertifikat yang dimiliki sebesar 0,06, Nilai Tes Wawancara sebesar 0,10, Nilai Tes Microteaching sebesar 0,16, Nilai Tes Praktikum sebesar 0,25 dengan nilai Consistency Ratio (CR) sebesar 0,01 serta dapat menentukan rangking calon Asisten Laboratorium Komputer yang akan diterima. Pengujian Black Box Testing untuk menunjukkan hasil pengujian pada semua data uji sistem sesuai kebutuhan dan berstatus valid. Sehingga dapat dijadikan dasar pengambilan keputusan dan diterapkan kepala laboratorium komputer dalam menerima asisten laboratorium komputer.]]>
<![CDATA[Penerapan Metode TOPSIS untuk Menentukan Kelayakan Perpustakaan Sekolah Diakreditasi ]]>
<![CDATA[sukamto, sukamto]]>;
<![CDATA[Id, Ibnu Daqiqil]]>;
<![CDATA[Jukris, Avisha Delinda]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
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DOI: 10.32736/sisfokom.v12i1.1542
<![CDATA[School libraries should be accredited with the aim of improving the quality of libraries. Pekanbaru City Library and Archives Service (DISPUSIP) in determining a school library that deserves to be accredited is still done manually, namely DISPUSIP went directly to the field to monitoring the library in the school and the data collection still used manual entries. Meanwhile, a lot of data must be collected, causing the data to be inaccurate and take a long time. For this reason, a decision support system (DSS) is needed. The data used are nine junior high schools both public and private as an alternative. While the criteria refer to the school library accreditation instrument issued by the National Library (Perpusnas) consisting of six criteria, namely collections, library facilities and infrastructure, library services, library staff, library administration and management, and reinforcement. Data analysis using the TOPSIS method by steps of determining the decision matrix, normalization matrix, calculating both positive and negative ideal solutions, calculating the distance to the ideal solution, calculating preference values, and ranking. The results obtained for the SMP library are Sek 4, Sek 1 and Sek 5 which are eligible for accreditation.]]>
<![CDATA[Aplikasi Antrian Pasien Pada Dokter Praktek Umum Menggunakan Metode FIFO (First In First Out) Berbasis Android ]]>
<![CDATA[Hardianti, Hardianti]]>;
<![CDATA[Hendra, Syaiful]]>;
<![CDATA[Kasim, Anita Ahmad]]>;
<![CDATA[Azhar, Ryfial]]>;
<![CDATA[Angreni, Dwi Shinta]]>;
<![CDATA[Ngemba, Hajra Rasmita]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
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DOI: 10.32736/sisfokom.v12i1.1478
<![CDATA[Currently, there are so many services in Indonesia. One of the services in the health sector is the practice of general practitioners. Services that occur at the practice of general practitioners, namely dr. Zaki Mubarak and dr. Subhan Habibi, located in Palu, often has complaints because it is still ineffective where getting these services is still done manually by means of patients coming in person and taking a queue based on the order of seats then one by one they will be served. This causes patient discomfort in waiting. To make it easier for patients who want to seek treatment, a system is needed, with this; an Android-based patient queuing application for general practice doctors was made. The application of the method used in building the system is the FIFO queuing method where patients who register earlier get medical services first. Then the average waiting time is calculated where the results obtained will be used as an estimate of the waiting time for the next patient. The application development method in this research used the prototype method and application testing uses the black box testing method. The results of this research are the application of patient queues for general practice doctors based on Android which is built to be able to take queues anywhere and anytime and obtain some information including doctor’s practice schedules, queue numbers, running queues, and estimated waiting times so that patients can estimate arrival time without having to wait long. Based on system testing with black box, the results show that the functional system is running well. Based on the average waiting time calculation, from the 60 queue data tested, the result is that the distance between queue 1 and the order is around 5 minutes.]]>
<![CDATA[Prediksi Customer Retention Perusahaan Asuransi Menggunakan Machine Learning ]]>
<![CDATA[Pratama, Riyan]]>;
<![CDATA[Herdiansyah, Muhammad Izman]]>;
<![CDATA[Syamsuar, Dedy]]>;
<![CDATA[Syazili, Ahmad]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
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DOI: 10.32736/sisfokom.v12i1.1507
<![CDATA[The application of data mining technique currently is widely used in supporting business activity, especially for insurance company which has to analyze a big number of customer data. The insurance company has to predict its new customer acquisition as well as maintain its existing customers. This paper is focused on how we support insurance companies, especially PT. XYZ, to analyze their customers’ characteristics data using the best data mining algorithm technique. The research aims to analyze existing customer data and to predict as well as find optimal patterns of how many of their customers will extend their insurance policies, and how many will not. We also explore the customer retention rate discovering the optimal solution for the company. We applied 4 different algorithms were applied, i.e. support vector machine algorithm, decision tree, k-NN, and random forest algorithm, comparing the results and finding a better solution. From the analysis, we found that the random forest algorithm provides better results in predicting the status of the insurance policy extension of current customers, with an accuracy rate of 91.08% and AUC value of 0.962. This result is quite good for PT XYZ, and could be enhanced in the future by applying a good strategy to increase their customer renewal ratio.]]>
<![CDATA[Sentimen Analisis Review Aplikasi Digital Korlantas Pada Google Play Store Menggunakan Metode SVM ]]>
<![CDATA[Kaburuan, Emil R]]>;
<![CDATA[Setiawan, Nanda Ressq]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
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DOI: 10.32736/sisfokom.v12i1.1614
<![CDATA[Layanan perpanjangan SIM familiar dengan proses pelayanan yang rumit. Mengatasi keluhan di masyarakat, Korlantas Polri memfasilitasi pelayanan online yang cepat dan mudah melalui aplikasi digital layanan SINAR Korlantas Polri. Namun rating yang disertai berbagai ulasan negatif dan positif menunjukkan bahwa pelayanan yang diberikan belum sepenuhnya memenuhi harapan dari pengguna aplikasi tersebut. Agar dapat mengetahui seberapa optimal aplikasi Digital Korlantas Polri dapat diketahui dengan menganalisis sentimen ulasan pengguna. Tujuan penelitian ini adalah mengimplementasikan sentimen analisis review Aplikasi Digital Korlantas pada Google Play Store menggunakan Metode SVM. Data ulasan pengguna aplikasi Digital Korlantas Polri yang didapatkan melalui website Google Play dengan jumlah sampel sebanyak 1200 data ulasan. Pengumpulan data dalam penelitian ini dengan cara crawling data menggunakan library google-play-scrapper. Metode pengujian menggunakan confusion matrix. Hasil penelitian menunjukkan bahwa algoritma SVM dapat melakukan analisis sentimen pada ulasan aplikasi digital korlantas dengan hasil 598 sentimen positif dan 511 sentimen negatif. Berdasarkan hasil pengujian model SVM memiliki kinerja yang baik pada skenario rasio data 90:10 dengan nilai akurasi sebesar 0.82 dan model SVM dengan kinerja terburuk ada pada skenario rasio data 80:20 dan 60:40 yakni dengan akurasi sebesar 0.74.]]>
<![CDATA[User Satisfaction Analysis of E-Samsat SUMUT Application Using End User Computing Satisfaction (EUCS) Approach ]]>
<![CDATA[Naufal, M Farid]]>;
<![CDATA[Utomo, Rio Guntur]]>;
<![CDATA[Achmad, Kusuma Adi]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
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DOI: 10.32736/sisfokom.v12i1.1586
<![CDATA[Technological developments have continued to develop until now and the community has even made it a necessity, one of which is the motorized vehicle tax payment processing service, where payments can be made via e-banking or a predetermined Bank ATM. Because of this, users believe that there is little to no difference between traditional Samsat and E-Samsat, the user returns to the Samsat Office to obtain validation of vehicle registration certificates (STNK). User satisfaction is formulating user satisfaction and comparing expectations and reality as follows: if expectations reality then very satisfied, if expectations = reality then satisfied and If expectations reality then not satisfied. The purpose of this study is to find out what factors influence user satisfaction in the North Sumatra E-Samsat application and recommendations to application developers so that user satisfaction does not decrease. This study uses quantitative methodology. Quantitative is a research method in which data collection techniques are carried out through surveys and questionnaire instruments and data analysis is carried out statistically. This study will use the End User Computing Satisfaction method, the EUCS method was chosen because it has 5 variables of content, accuracy, format, ease of use, and timeliness to measure factors that influence user satisfaction from information systems. The results of the discussion from this study using the EUCS method each variable get a score of 4 (satisfied) out of 5 total scores. But it's not perfect yet, so some improvements are needed to further increase user satisfaction.]]>
<![CDATA[Exploring Business Process Management (BPM) Challenges in a Startup Environment ]]>
<![CDATA[Witra, Widyasari Puspa Permata]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
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DOI: 10.32736/sisfokom.v12i1.1550
<![CDATA[The primary aim of the article is to discover Business Process Management (BPM) challenges when applied in a startup environment. This concept is an increasingly popular concept nowadays where BPM is one of mature disciplines that drives companies’ success. Whereas startup companies also becoming a trend as the Information Technology (IT) is developed and they have different organizational values compared to most companies in general. A Systematic Literature Review (SLR) is performed to offer an impactful and insightful literature concerning BPM in startup environment. The papers used in this article are from the most honored journal publishers such as Elsevier, Emerald Insight, Springer, Taylor and Francis, Wiley, and Sage Publications. A total of 3332 articles are picked based on the keyword. Then, 22 articles are picked according to the content of the article. Results show that there are 11 out of 30 BPM capability areas may be facing some challenges when applied in a startup environment. Therefore those 11 BPM capability areas need some improvement in order to be suitable for startup environment. Fortunately, the remaining are just good as is because they are compatible with startup environment.]]>
<![CDATA[Forecasting of GPU Prices Using Transformer Method ]]>
<![CDATA[Hadi, Risyad Faisal]]>;
<![CDATA[Sa'adah, Siti]]>;
<![CDATA[Adytia, Didit]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
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DOI: 10.32736/sisfokom.v12i1.1569
<![CDATA[GPU or VGA (graphic processing unit) is a vital component of computers and laptops, used for tasks such as rendering videos, creating game environments, and compiling large amounts of code. The price of GPU/VGA has fluctuated significantly since the start of the COVID-19 pandemic in 2020, due in part to the increased demand for GPUs for remote work and online activities. Furthermore, accurate GPU price forecasting can have broader implications beyond the computer hardware industry, with potential applications in investment decision-making, production planning, and pricing strategies for manufacturers. This research aims to forecast future GPU prices using deep learning-based time series forecasting using the Transformer model. We use daily prices of NVIDIA RTX 3090 Founder Edition as a test case. We use historical GPU prices to forecast 8, 16, and 30 days. Moreover, Transformer we compare the results of the Transformer model with two other models, RNN and LSTM. We found that to forecast 30 days; the Transformer model gets a higher coefficient of correlation (CC) of 0.8743, a lower root mean squared error (RMSE) value of 34.68, and a lower mean absolute percentage error (MAPE) of 0.82 compared to the RNN and LSTM model. These results suggest that the model is an effective and efficient method for predicting GPU prices.]]>
<![CDATA[ANALISA DAN PERANCANGAN ARSITEKTUR ENTERPRISE MENGGUNAKAN THE OPEN GROUP ARCHITECTURE FRAMEWORK (TOGAF) : STUDI KASUS KOPERASI SYARIAH BENTENG MIKRO INDONESIA (KOPSYAH BMI) ]]>
<![CDATA[Anwar Solihin, Muhamad]]>;
<![CDATA[Firmansyah, Gerry]]>;
<![CDATA[Kailani Ridwan, M]]>;
<![CDATA[Supardi, Supardi]]>;
<![CDATA[Irawan, Devi]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
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DOI: 10.32736/sisfokom.v12i1.1523
<![CDATA[Pada era globalisasi pemanfaatan suatu teknologi informasi pada organisasi mulai dikembangkan dengan strategi yang beragam, hal ini diperlukan terlebih pada sebuah organisasi simpan pinjam pada koperasi dimana lanjunya perkebangan sistem atau teknologi informasi akan berpengaruh pada proses bisnis yang sedang berjalan. Koperasi Syariah Benteng Mikro Indonesia atau disingkat Kopsyah BMI adalah Koperasi Simpan Pinjam dan Pembiayaan Syariah yang merupakan Koperasi Besar Indonesia yang memiliki 77 kantor cabang. Begitupun dengan program kerja dalam divisi-divisi manajerial Kopsyah belum terintegrasi dan audit internal yang dilakukan oleh TIM Satuan Pengendali Internal (SPI) belum menggunakan aplikasi atau online, sehingga laporan audit internal harus di rekap dan ditulis dengan menggunakan aplikasi office sehingga membutuhkan waktu dan tidak dapat mengambil keputusan dengan cepat. Setiap kegiatan usaha atau bisnis pasti diperlukan perancangan arsitektur bisnis untuk memudahkan dalam pencapaian visi dan misi perusahaan. Enterprise Architecture (EA) adalah kumpulan dari metode, model, dan prinsip yang digunakan dalam membuat rancangan dan merealisasiskan teknologi informasi, proses bisnis, struktur organisasi, dan infrastrukturnya. Hasil Enterprise Architecture pada koperasi syariah BMI, terdapat beberapa usulan fase arsitektur visi untuk merubah struktur organisasi dari segi peran dan stakeholders. Sehingga harapannya dapat mempertanggungjawabkan tugasnya masing-masing dalam struktur organisasi untuk mencapai visi dan misi. Dapat juga memberikan dokumentasi setiap tahapan mulai dari data, aplikasi hingga proses bisnis di BMI Kopsyah baik dari segi Sistem informasi maupun teknologi informasi yang diusulkan oleh TOGAF untuk mencakup keseluruhan kegiatan di BMI Kopsyah.]]>
<![CDATA[Pengembangan Game Platformer Slime Jump Menggunakan Metode Sekuensial Linier ]]>
<![CDATA[Yulianeu, Aneu]]>;
<![CDATA[Rosadi, Adam Abdul Aziz Kurniawan]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
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DOI: 10.32736/sisfokom.v12i1.1576
<![CDATA[Tujuan dari proyek penelitian ini adalah untuk membuat game slime jump platformer dengan metode linear sequential yang tangguh dan informatif tanpa mengorbankan fungsi utama game tersebut, yaitu untuk memberikan hiburan dan kesenangan. Analisis kebutuhan fungsional, kebutuhan perangkat lunak, dan kebutuhan perangkat keras dimasukkan dalam penelitian ini sebagai pendekatan pengembangan sistem. Metode lain termasuk desain sistem, implementasi sistem, dan pengujian sistem. Kesulitan dalam proses pembuatan game dari awal hingga bisa dimainkan, seperti mencari tahu apa konsep utama game tersebut, memikirkan ide-ide yang bisa dimasukkan ke dalam game, mencari tahu cara memasukkannya semua ide dan konsep tersebut ke dalam game yang sedang dibuat, dan memastikan bahwa game yang dibuat adalah game yang seru dan orisinal.]]>
