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Jurnal Ilmiah Teknologi Informasi Asia
Published by Institut Teknologi dan Bisnis Asia Malang
ISSN : 0852730X     EISSN : 25808397     DOI : -
Core Subject : Science,
Computer Science & IT
Diterbitkan oleh Lembaga Penelitian dan Pengabdian Masyarakat (LP2M), Sekolah Tinggi Manajemen Informatika & Komputer (STMIK) AsiA MALANG sebagai terbitan berkala yang menyajikan informasi dan analisis tentang ilmu-ilmu Teknologi dan Informasi.
Arjuna Subject : -
Articles 8 Documents
 1 
Search results for , issue "Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)" : 8 Documents clear
Clustering Wilayah Kerawanan Stunting Menggunakan Metode Fuzzy Subtractive Clustering Ratna Dwi Christyanti; Dady Sulaiman; Adymas Putro Utomo; Muhammad Ayyub
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.877

Abstract

Stunting is a chronic lack of nutrition experienced by toddlers, causing the body to be too short for its age. In Bulungan Regency, stunting is a problem that the government focuses on handling. Based on these problems, this study aims to determine the clusters of stunting susceptibility levels. The method used is Fuzzy Subtractive Clustering (FSC). The method stages in this research are data collection; clustering process using the FSC method; the process of determining the candidate cluster center; the cluster center consideration process using various parameters; then clustering the previously given data into the appropriate cluster based on the degree of membership of each. From this study it can be concluded that the radius (r) of 0.92 produces the best number of clusters. The number of clusters formed is 7 clusters as follows, cluster 1 has 2 sub-districts, cluster 2 has 3 sub-districts, cluster 3 has 3 sub-districts, cluster 4 has 1 sub-district, cluster 5 has 1 sub-district, cluster 6 has 1 sub-district, and cluster 7 has 1 district. Keywords: Stunting; Clustering ; Fuzzy Subtractive Clustering (FSC)
Pengaruh Manajemen Bandwidth Terhadap QoS dengan Standar TIPHON Pada Alur Monitoring SNMP Alzi Alzi; Haeruddin Haeruddin
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.883

Abstract

Universitas Internasional Batam menyediakan fasilitas internet yang didominasi oleh pengguna jaringan wireless. Para pengguna yang terdiri dari staff, karyawan, tenaga pendidik dan mahasiswa memanfaatkan fasilitas internet di UIB, sehingga diperlukan manajemen bandwidth agar penggunaan trafik di UIB stabil, terbagi secara merata dan terjaga konektivitasnya. Metode yang digunakan adalah Network Development Life Cycle (NDLC). Penelitian ini bertujuan untuk melakukan stabilisasi trafik penggunaan bandwidth pada protokol Simple Network Management Protocol (SNMP), membagi kecepatan upload dan download secara merata dan proporsional ke masing-masing pengguna, serta meningkatkan Quality of Service melalui parameter throughput, delay, jitter, dan packet loss. Penelitian ini menghasilkan output kuantitatif dari masing-masing tujuan dan parameter QoS yang dapat digunakan sebagai referensi untuk menentukan pembagian bandwidth yang sesuai dengan kapasitas bandwidth yang dimiliki tanpa mengganggu QoS pada jaringan wireless.
Klasterisasi Tingkat Penjualan pada Startup Panak.id dengan Algoritma K-Means Sutha Wijaya Harjono; Nengah Widya Utami; I Gusti Agung Pramesti Dwi Putri
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.888

Abstract

Sales data processing is one way for companies to support future decision making. One way to process sales data is to cluster with data mining techniques that are present as a company solution to be able to process sales data that is owned by carrying out processes that generate new knowledge. Knowledge obtained from owned data is commonly referred to as Knowledge Discovery in Database (KDD) which consists of steps such as; data selection, data cleaning, pattern search (data mining), and interpretation. In this study, the author will discuss data mining techniques and applications using the K-Means algorithm which is applied in the Python programming language. The research was conducted at the startup company Panak.id by accessing data on sales of processed livestock products for the period July 2021 – July 2022. The results showed that the level of product sales was dominated by products that were in the less-selling category. This shows that of the many types of products offered by Panak.id, there are still many products that are of little interest to the public. From this knowledge, the company can make decisions related to sales strategies and innovations in products that are not in demand with the hope of further increasing sales. In addition, the company can also use this knowledge as a prediction in terms of stock control so that products that are not selling well can be monitored more closely to avoid stock buildup in warehouses.
Analisis Behavioral Intention dan Use Behavior Quick Response Code Indonesian Standard (QRIS) Pada UMKM Dengan Metode UTAUT 2 di Kota Denpasar Ni Kadek Dwi Febriani; Nengah Widya Utami; I Gusti Agung Pramesti Dwi Putri
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.890

Abstract

This study aims to determine the factors that can influence the intention to use and behavior of MSMEs in Denpasar City in using QRIS with the Unified Theory of Acceptance and Use of Technology (UTAUT) 2 Model. This research uses primary data sources with a sample of 100 respondents, taking sample using probability sampling that is simple random sampling. Test the validity and reliability test of the instrument was carried out with SmartPLS 3.0 software. Data were analyzed using the Partial Least Squares Path Modeling (PLS-SEM) method with SmartPLS 3.0 software. The results of the tests carried out show that the accepted hypothesis is that the variables that have an influence on behavioral intentions are effort expectations, facilitating conditions, hedonic motivation, and price values. The other hypothesis that is accepted is the variables that influence use behavior, namely habits and behavioral intentions. There are hypotheses that are rejected, namely performance expectancy on behavioral intention, social influence on behavioral intention, facilitating conditions on use behavior and habit on behavioral intention. Keywords: Financial Technology; QRIS; UTAUT 2; Behavior Intention; Use Behavior; PLS
Analisis Valuasi Startup Panak.id Menggunakan Scorecard Method Ni Putu Rani Windari; I Gede Juliana Eka Putra; I Gusti Agung Pramesti Dwi Putri
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.891

Abstract

Pada penelitian ini dilakukan valuasi pada sebuah startup di Bali yaitu Panak.id. Panak.id merupakan startup yang bergerak di bidang crowdfunding dan marketplace ternak. Valuasi ini dilakukan dengan tujuan bahwa hasil valuasi dapat dijadikan sebagai acuan dalam negosiasi dengan investor saat mencari pendanaan ataupun dijadikan sebagai bahan evaluasi kinerja perusahaan. Penelitian ini menghitung nilai valuasi startup Panak.id pada model bisnis crowdfunding yang dimiliki, yaitu “Bisnak”. Valuasi dilakukan menggunakan metode Scorecard dengan penilaian berdasarkan pada faktor non keuangan lalu membandingkannya dengan perusahaan yang bergerak pada sektor sejenis. Ada 7 elemen yang dinilai dalam metode Scorecard, yaitu Strength of Entrepreneur and Team, Size of the Opportunity, Product/Technology, Competitive Environment, Marketing/Sales/Partnerships, Need for Additional Investment, dan Other Factor, dengan perolehan nilai Extension SUM sebesar 4,425. Berdasarkan dari penilaian yang dilakukan, nilai valuasi startup Panak.id yang diperoleh melalui perhitungan menggunakan metode Scorecard yaitu sebesar Rp 1.548.750.000. Kata Kunci: Metode Scorecard, Stratup, Valuasi Startup
Penerapan Model Business Intelligence Pada Perusahaan Retail XLT Untuk Meningkatkan Strategi Pemasaran W . Sulistyoningsih; I Nyoman Yudi Anggara Wiajaya; Helmy Syah Alam
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.893

Abstract

Data is something valuable, so PT XLT began to focus on good data processing. Such data includes sales data, purchase data, customer data, and other operational data that are useful for making decisions in determining marketing strategies. Currently, the marketing team in carrying out marketing strategies is only based on intuition and minimal information. Business Intelligence (BI) is one of the solutions for company needs in analyzing and providing information. In this study, researchers will design and build BI dashboards to support marketing strategies at XLT companies. This study aims to apply BI to companies and create reporting dashboards to assist the marketing team in making decisions. The results of this study are to present the information needed by the marketing team in the decision-making process to improve marketing strategies at XLT companies. Decision making is based on the implementation of the marketing mix strategy which contains the 4P components, namely: Price (Price), Product (Product), Place (Distribution), and Promotion (Promotion).
Sistem Pelacakan Administrasi Desa Ardimulyo Berbasis Bot Api Telegram Machrus Machrus; Lia Farokhah
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.892

Abstract

Sistem pelacakan administrasi desa Ardimulyo berbasis bot api telegram merupakan sebuah sistem yang digunakan sebagai sumber informasi desa. Sistem ini menangani kendala terkait pengajuan dan pelacakan surat secara manual yang mengakibatkan masyarakat harus datang beberapa kali ke kantor desa. Dengan menggunakan sistem ini, desa dapat memberikan pelayanan yang bagi masyarakat ardimulyo secara efektif. Metode yang digunakan dalam pengembangan sistem ini waterfall. Visualisasi sistem digambarkan menggunakan DFD (Data Flow Diagram) dengan tiga pihak terkait yaitu admin desa, masyarakat dan pegawai. Hasil pengujian penelitian ini menggunakan blackbox testing dimana dari 5 fungsionalitas yang diuji yaitu login, pelacakan surat, notifikasi, update status proses dan surat keluar menghasilkan hasil sesuai yang diinginkan. sired results
Penentuan Model Total Organic Carbon dengan Menggunakan Metode Artificial Neural Network dan Adaptive Neuro Fuzzy Inference System untuk Estimasi Potensi Gas Serpih di Cekungan Jawa Barat Utara Muhammad Rizqy Septyandy; Eddy Ariyono Subroto; Aveliansyah Aveliansyah
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.889

Abstract

Gas serpih adalah jenis gas alam yang dihasilkan dan terperangkap dalam batuan serpih yang kaya material organik. Potensi sebagai batuan induk gas serpih harus dibuktikan melalui analisis geokimia. Analisis geokimia hidrokarbon meliputi parameter kekayaan/total karbon organik (TOC), kematangan, dan jenis kerogen. Parameter kekayaan (TOC) hanya tersedia untuk empat sumur (SA-13, SA-11, E-5, dan JB-7), sehingga TOC sintetik harus dimodelkan. Artificial Neural Network (ANN) dan Adaptive Neuro Fuzzy Inference System (ANFIS) adalah jenis kecerdasan artifisial yang memberikan cara paling efektif untuk menentukan nilai TOC di sumur tanpa data hasil analisis laboratorium. Metode ANN adalah metode terbaik di Sub-cekungan Arjuna Selatan, E15, dan Jatibarang bagian barat dengan nilai korelasi 0,98. Metode ANFIS adalah metode terbaik di Jatibarang bagian timur dengan nilai korelasi mencapai 0,88.

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