Abstract:Abstract: Toko Ratna Jaya is a business in the fashion sector that sells women's robes and is experiencing instability in its sales because Toko Ratna Jaya is unable to predict their sales for the following month. Ratna…
Jaya Shop currently carries out forecasting only by relying on the owner's predictions. However, this approach is less efficient and can lead to losses or increased stock costs if forecasting is inaccurate. To increase the accuracy of the estimates, the use of the Single Exponential Smoothing Method is proposed. This method smooths past values with exponential weights, placing greater emphasis on recent data. Use of data from the last 1 (one) year as reference data for recording the past for forecasting experiments for the next 1 (one) month. Experiments using different Alphas test accuracy in actual situations. The results of the experiment with an alpha of 0.2 are almost the same as the actual value in predicting the situation one month into the future with the lowest error, namely MAPE 12.05% and forecasting sales of gamis of 1,476 pcs.
Keywords: forecasting; gamis; sales; single exponential smoothing (SES); toko ratna jaya.
Abstrak: Toko Ratna Jaya adalah usaha di bidang fashion yang menjual baju gamis wanita dan sedang mengalami ketidakstabilan dalam penjualannya dikarenakan Toko Ratna Jaya tidak mampu meramalkan penjualan mereka untuk bulan berikutnya. Toko Ratna Jaya saat ini melakukan peramalan hanya dengan mengandalkan paraduga pemiliknya. Namun, pendekatan ini kurang efisien dan dapat menyebabkan kerugian atau peningkatan biaya stok jika peramalan tidak akurat. Untuk meningkatkan ketepatan perkiraan, penggunaan Metode Single Exponential Smoothing diusulkan. Metode ini menghaluskan nilai masa lalu dengan bobot eksponensial, memberikan penekanan lebih besar pada data terbaru. Penggunaan data 1 (satu) tahun terakhir sebagai data acuan pencatatan masa lalu untuk percobaan peramalan untuk 1 (satu) bulan kedepan. Eksperimen menggunakan Alpha yang berbeda menguji akurasi dalam situasi aktual. Hasil dari eksperimen dengan alpha 0,2 hampir sama dengan nilai aktual dalam meramalkan keadaan satu bulan ke depan dengan error yang paling rendah yaitu MAPE 12,05% dan peramalan penjualan gamis sebanyak 1.476 pcs.
Kata kunci: gamis; penjualan; peramalan; single exponential smoothing (ses); toko ratna jaya.
Abstract:Abstract : Coconut plantation palm has a very strategic role in the development of the Indonesian economy. Coconut palm that is processed becomes oil cook and material burn. To produce product quality derivatives from coconut…
conut palm this needs proper handling in its maintenance. On plantation coconut palm lots were found to cause coconut infected palm disease, so this will hinder productivity of the plantation. Handling is not appropriate to coconut infected palm disease and can result in losses that don't little. To overcome the problem, they make it a system android based expert. System experts can diagnose disease with detect the symptoms shown coconut palm moment attacked disease, so taking decision for handling furthermore will be more accurate that will impact on results maximum harvest.
Keywords : android; coconut palm; disease; system expert.
Abstrak : Perkebunan kelapa sawit memiliki peranan yang sangat strategis dalam pembangunan ekonomi Indonesia. Kelapa sawit ini banyak diolah menjadi minyak masak dan bahan bakar. Untuk menghasilkan produk turunan yang berkualitas dari kelapa sawit ini maka membutuhkan penanganan yang tepat dalam pemeliharaannya. Pada perkebunan kelapa sawit banyak ditemukan kasus kelapa sawit yang terserang penyakit, sehingga hal ini akan menghambat produktivitas perkebunan. Penanganan yang tidak tepat terhadap kelapa sawit yang terserang penyakit dapat mengakibatkan kerugian yang tidak sedikit. Untuk mengatasi masalah tersebut dibuatlah sistem pakar yang berbasis android. Sistem pakar dapat mendiagnosis penyakit dengan mendeteksi gejala-gejala yang ditunjukan kelapa sawit saat terserang penyakit, sehingga pengambilan keputusan untuk penanganan selanjutnya akan lebih akurat yang akan berdampak pada hasil panen yang maksimal.
Kata Kunci : android; kelapa sawit; penyakit; sistem pakar.
Abstract:Abstract: Consumer demand for drugs during this pandemic is so high that pharmacies must be able to estimate drug sales to meet consumer demand. The history of monthly sales transactions is only a report that causes data…
to accumulate if not processed properly. There needs to be a system for estimated drug sales in order to reduce costs in drug supply so that consumer needs are met. This study aims to analyze in order to predict drug sales at Apotek Manjur Marendal so that it can control drug stock supplies so that losses can be minimized. Drug sales data samples were taken from January 2021 to December 2021. The web-based application was successfully applied to predict drug sales. The prediction results are stable in terms of sales of ± 5000 drugs per month in 2022. Based on the calculation results, the lowest accuracy is 64% and the highest accuracy is > 90%. Data mining techniques with the trend moment method can be applied to web-based applications to predict drug sales.
Keywords: data mining; drugs; drugstore; prediction; trend moment
Abstrak: Permintaan konsumen terhadap obat-obatan pada masa pandemi ini sangat tinggi sehingga membuat pihak apotik harus dapat mengestimasi penjualan obat untuk memenuhi permintaan konsumen. Riwayat transaksi penjualan perbulan hanya sebagai laporan yang menimbulkan data menumpuk bila tidak diolah dengan baik. Perlu adanya sebuah sistem untuk penjualan obat diestimasi agar mengurangi biaya dalam penyediaan obat sehingga terpenuhi kebutuhan konsumen. Penelitian ini bertujuan untuk menganalisa agar dapat memprediksi penjualan obat pada Apotik Manjur Marendal sehingga dapat mengendalikan persediaan stok obat dengan demikian kerugian dapat diminimalisir. Sampel data penjualan obat diambil mulai dari bulan Januari 2021 hingga Desember 2021. Aplikasi yang dibangun berbasis web berhasil diterapkan untuk memprediksi penjualan obat. Hasil prediksi stabil diangka penjualan ±5000 obat perbulan pada tahun 2022. Berdasarkan hasil perhitungan mencapai akurasi terendah 64% dan akurasi tertinggi > 90%. Teknik data mining dengan metode trend moment dapat diterapkan pada aplikasi berbasis web untuk melakukan prediksi penjualan obat.
Kata kunci: apotik; data mining; obat-obatan; prediksi; trend moment
Abstract:Abstract: The background of this research is that some of the risks of using technology that are classified as dangerous are often ignored by users of the monitoring system for learning activities at private universities…
so that there are several obstacles such as not being able to open the system because the system is hacked by irresponsible parties, the computer network used is often disrupted so that hampers the operational process, and the level of computer security is still relatively weak. This study aims to measure the likelihood of threats and risk impacts on the teaching and learning activity monitoring system and to provide recommendations for risk control of security problems that could become a threat that causes losses to universities. The framework used as a tool to measure the level of threat and risk impact is to use the NIST Special Publication 800-30r-1 framework. The framework of the NIST Special Publication 800-30r-1 has nine phases in carrying out risk assessments, namely introduction of system characteristics, recognition of threats, recognition of vulnerabilities, analysis of handling systems, determining likelihood, determining impact, risk determination, recommending control and determination of results. There are six risk assessment systems for monitoring learning activities at private universities, two of which are high so they are classified as very dangerous and the rest are moderate. The results of this study are used as a reference in making risk control standard documents as a form of improving the quality of a private university.
Keywords: Monitoring System; NIST Spesial Publication 800-30r1; Risk Assessment.
Abstrak: Latarbelakang penelitian ini adalah resiko penggunaan teknologi yang tergolong berbahaya sering tidak dihiraukan oleh pengguna sistem monitoring kegiatan belajar pada perguruan tinggi swasta sehingga terjadi beberapa kendala seperti tidak bisa membuka sistem karena sistem diretas oleh pihak yang tidak bertanggung jawab, jaringan komputer yang digunakan sering terganggu sehingga menghambat proses operasional, serta tingkat keamanan komputer yang masih tergolong lemah. Penelitian ini mempunyai tujuan yaitu mengukur seberapa besar kemungkinan terjadi ancaman dan dampak resiko terhadap sistem monitoring kegiatan belajar mengajar serta memberikan rekomendasi pengendalian resiko dari permasalahan keamanan yang bisa menjadi suatu ancaman yang menimbulkan kerugian pada perguruan tinggi. Framework yang digunakan sebagai alat untuk mengukur tingkat ancaman dan dampak resiko adalah menggunakan kerangka kerja NIST Special Publication 800-30r-1. Kerangka kerja NIST Special Publication 800-30r-1 ini mempunyai sembilan fase dalam melakukan penilaian resiko yaitu pengenalan karakteristik sistem, pengenalan ancaman, pengenalan kerentanan, analisis penanganan sistem, menentukan kemungkinan terjadi (likelihood), menentukan dampak (impact), risk determination, merekomendasikan pengendalian dan penetapan hasil. Penilaian resiko sistem monitoring kegiatan belajar pada perguruan tinggi swasta ada enam resiko yang dua diantaranya termasuk tinggi sehingga digolongkan sangat berbahaya dan selebihnya termasuk sedang. Hasil dari penelitian ini digunakan sebagai acuan dalam pembuatan dokumen standar pengendalian resiko sebagai bentuk peningkatan mutu suatu perguruan tinggi swasta.
Kata kunci: NIST Spesial Publication 800-30r; Penilaian Resiko; Sistem Monitoring
Abstract:Abstract: Combined algorithm (Cest Cryptography) is a combination of 3 algorithms such as Merklee-Hellman, Discrete Logarithm and ASCII Modification, using Base64 to hide 2 public keys and 2 private keys. Combination algorithms…
orithms are used because of the increasing number of techniques in cryptography, making it easier to combine each other algorithms in order to get more complicated encryption that won't even be cracked in the near future. On large sites there has been database theft, if the stolen database has been encrypted it will be difficult for data thieves to take advantage of it, but if it is not encrypted it is very easy to use the data so that it creates huge losses, especially user trust from the site.
Keywords: algorithm combination; ascii modification; base64; merklee-hellman; discrete logarithm
Abstrak: Kombinasi algoritma (Cest Cryptography) merupakan kombinasi 3 algoritma seperti Merklee-Hellman, Logaritma Diskrit dan Modifikasi ASCII, menggunakan Base64 untuk menyembunyikan 2 kunci public dan 2 kunci private.. Kombinasi algoritma digunakan karena semakin banyaknya teknik-teknik dalam kriptografi sehingga mempermudah untuk saling mengkombinasikan algoritma agar mendapatkan enkripsi yang lebih rumit dan bahkan tidak bisa dipecahkan dalam jangka waktu dekat. Pada situs-situs besar telah terjadi pencurian database, jika database yang dicuri telah terenkripsi maka akan mempersulit pencuri data untuk memanfaatkannya tetapi jika tidak terenkripsi maka sangat mudah data tersebut di manfaatkannya sehingga membuat kerugian yang sangat besar terutama kepercayaan pengguna dari situs tersebut.
Kata kunci: kombinasi algoritma; modifikasi ascii; base64; merklee-hellman;logaritma diskrit
Abstract:Abstract: Data from the National Socio-Economic Survey of the National Central Bureau of Statistic (Susenas, BPS) 2016 shows that the average amount of national top up the balance spending per month in 2016 reaches Rp 22,182…
,182 per capita. It is becoming a business opportunity for top up the balance of retail entrepreneurs. However, in the process of managing the process of input, output and reporting of goods that are done manually (still using paper) are not monitored properly, often there are outgoing or incoming goods whose data is not recorded. This, in the long run, will cause large losses. The purpose of this study is to build applications that function to help provide information that makes it easy to control the process of entry and exit of goods. The system development methodology used is object-oriented system development using the Unified Modeling Language (UML). The results obtained from this research are the design and construction of Inventory Information System POS (Point of Sales) in the form of Context Diagrams and UML Diagrams (Use Case Diagrams, Activity Diagrams, Class Diagrams, and Sequence Diagrams), with the results of black box testing conducted already in operation properly according to the needs of the retail owner.
Keywords: Point of Sales, Retail, UML
Abstrak: Data Survei Sosial Ekonomi Nasional Badan Pusat Statistik (Susenas, BPS) 2016 menunjukkan, jumlah rata-rata pengeluaran pulsa secara nasional per bulan pada 2016 mencapai Rp 22.182 per kapita [1]. Tentu saja hal ini menjadi peluang usaha untuk para pengusaha retail counter. Namun, dalam proses pengelolaannya proses input, output dan pelaporan barang yang dilakukan secara manual (masih menggunakan kertas) tidak termonitoring dengan baik, seringkali terjadi adanya barang keluar ataupun barang masuk yang tidak tercatat datanya. Hal ini dalam jangka panjang akan menimbulkan kerugian yang besar. Tujuan penelitian ini adalah membangun aplikasi yang berfungsi dalam membantu memberikan informasi yang memudahkan dalam pengontrolan proses keluar masuknya barang. Metodologi pengembangan sistem yang digunakan adalah pengembangan sistem berorientasi objek menggunakan Unified Modeling Language (UML). Hasil yang didapat dari penelitian ini adalah perancangan dan pembangunan Sistem Informasi Inventory P.O.S (Point of Sales) berupa Diagram Konteks dan UML Diagram (Use Case Diagram, Activity Diagram, Class Diagram, dan Sequence Diagram), dengan hasil pengujian black box yang dilakukan telah beroperasi dengan baik sesuai kebutuhan owner retail.
Kata kunci: Point of Sales, Retail, UML
Abstract:This study aims to analyze the effectiveness of legal protection for consumers in digital transactions in Indonesia. The method used is library research with a normative juridical approach. The results of the study indicate…
ate that Indonesia actually has an adequate legal basis to protect digital consumers, which is primarily sourced from Law Number 8 of 1999 concerning Consumer Protection and Law Number 19 of 2016 concerning Information and Electronic Transactions. These regulations have set out basic principles such as the obligation of business actors to provide honest information, consumer rights to security, and the recognition of electronic evidence. However, its implementation in the field encounters various significant obstacles. Case studies on e-commerce and fintech platforms reveal that consumer losses still often occur, such as products that do not match the description, difficulties with refunds, and the vulnerability of personal data. The key finding of this study is that the main challenge lies not in the legal vacuum, but in three aspects: (1) low digital literacy and consumer law so that they are not optimal in fighting for their rights; (2) alternative dispute resolution mechanisms such as BPSK and ODR (Online Dispute Resolution) which are not yet effective, fast, and easily accessible; and (3) weak supervision and law enforcement against unscrupulous business actors in the digital space. Therefore, it is concluded that digital consumer protection efforts require a holistic approach that relies not only on regulations, but also through massive public education, strengthening dispute resolution institutions, and closer synergy between the government, business actors, and the community.
Abstract:This research aims to explore the role of the Deposit Insurance Corporation (LPS) in protecting customers when banks fail. The research methods used include policy analysis, case studies of failed banks, and reviews of related…
elated laws. It is hoped that the research results will provide a deeper understanding of the effectiveness of the legal protection provided by LPS to customers in the context of bank failures and the related compensation claims process. The Deposit Insurance Corporation (LPS) has a crucial role in protecting customer deposits when banks experience liquidation. In this context, LPS functions as a legal protection strategy for customer deposits held in banks. This action is important to maintain public confidence in banking amidst economic uncertainty. In response to the 1998 monetary crisis, the Indonesian government issued a policy of guaranteeing bank payments, including public deposits, through LPS. The importance of LPS is revealed when banks experience failures that have the potential to threaten the security of customer funds. In this situation, LPS guarantees the customer's refund up to a certain limit, providing the necessary financial protection. This creates a sense of security for customers and promotes banking system stability. With LPS, customers can be assured that their funds are safe even if unexpected events occur in the banking world. The role of LPS as a deposit insurance institution is inherent in the government's efforts to regulate and supervise the financial sector. LPS plays a role as the front guard in protecting customer interests, maintaining financial system stability, and preventing potential losses that could arise due to the possibility of bank failure.
Abstract:Load balancing is one of the things that must be considered by reducing the value of voltage drops or power losses that occur in distribution channels. It is necessary to know the characteristics of the load in an area or…
r area with a balanced supply so that each phase is burdened evenly. Calculating the voltage drop on the distribution network conductors, the voltage drop on the KBN09 Slawi feeder was calculated. What will be calculated here is from the line to the transformer furthest from the GI, namely from the three-phase 20 kV main line, single-phase branching. The results of power calculations from GI Kebasen Tegal show differences between R, S and T phases with three 20 kV phases in pre-balance and post-balance conditions. As written, the value for R wire is 82661.52 W, for S 52613 W, while for the T phase the value is 60127.06 W. Meanwhile, the calculation of power losses from GI Kebasen Tegal shows differences between the R, S and T phases with 1 phase voltage in the conditions before balance and after balanced. On the 3-phase line for the R wire, the power loss decreases from 34,198 W to 17,0425 W, for S it increases from 11,540 W to 19,077 W, while for the T phase the value remains 15,274 W.
Abstract:The purpose of this study is to analyze the legal responsibility of banks towards customers in cases of personal data leaks, examine the extent of legal protection provided to customers, and describe efforts that can be…
made to minimize the risk of data leaks. This study uses a literature study method by collecting and analyzing various legal sources, such as laws and regulations, court decisions, journals, and literature related to data protection in the banking sector. The results of the study indicate that banks have legal responsibilities based on the Personal Data Protection Law (UU PDP) and banking provisions to maintain the confidentiality of customer data. If a data leak occurs, the bank can be subject to administrative, civil, or even criminal sanctions depending on the level of negligence. In addition, this study found that customers have the right to claim compensation if the data leak causes material or immaterial losses. However, the effectiveness of law enforcement still faces challenges, such as lack of customer awareness and complexity of evidence. Therefore, it is necessary to strengthen regulations, improve cybersecurity systems by banks, and educate customers to mitigate the risk of data leaks. The implications of this study are expected to provide recommendations for regulators and banking industry players in strengthening the protection of customer personal data.