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All Journal JURNAL EKONOMI DAN KEBIJAKAN PEMBANGUNAN Jurnal Manajemen dan Agribisnis Jurnal Keuangan dan Perbankan Jurnal Ekonomi dan Pembangunan Indonesia Perfecting a Video Game with Game Metrics SEMIRATA 2015 BAREKENG: Jurnal Ilmu Matematika dan Terapan Buletin Ekonomi Moneter dan Perbankan Milang Journal of Mathematics and Its Applications JEPI

Toni Bakhtiar

IPB University

Author-ID : 240203

Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Transportation

Published : 12 Documents Claim Missing Document

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PERAN EDUKASI DAN KLORINASI DALAM PENGENDALIAN PENYAKIT MENULAR: SEBUAH PENDEKATAN KONTROL OPTIMUM Bakhtiar, Toni
SEMIRATA 2015 Prosiding Bidang Matematika
Publisher : SEMIRATA 2015

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (281.917 KB)

Dalam tulisan ini dibahas model pengendalian penyakit menular melalui pendekatan kontrol optimum. Studi kasus pengendalian penyebaran penyakit kolera ditinjau dengan menggunakan dua strategi, yaitu edukasi dan klorinasi. Model terbagi atas dua populasi yang saling berinteraksi, yaitu populasi manusia mengikuti model SIR dan populasi patogen. Prinsip maksimum Pontryagin diterapkan untuk menurunkan sistem persamaan diferensial sebagai kondisi yang harus dipenuhi variabel kontrol optimum. Metode Runge-Kutta orde-4 kemudian digunakan untuk menyelesaikan sistem persamaan diferensial tersebut. Sebuah contoh ilustratif dikemukakan untuk melihat tingkat efektivitas strategi pengendalian. Katakunci: kontrol optimum, pengendalian penyakit kolera, metode Runge-Kutta, prinsip maksimum Pontryagin

Kajian Kebijakan Pengampunan Pajak dengan Pendekatan Eksperimental Kurniawan, Benny Robby; Juanda, Bambang; Bakhtiar, Toni
Jurnal Ekonomi dan Pembangunan Indonesia Vol 19 No 1 (2019): Januari 2019
Publisher : Department of Economics-FEB UI

This research was conducted because the uncertainty in the tax amnesty policy. The purpose of this research is to analyze the effect of taxpayerâ€™s expectation of future tax amnesty, tariff period system, tax penalty and audit towards tax compliance in tax amnesty policy, using experimental economics. The result shows that, a tax amnesty followed by strict audit and tax penalties will rise tax compliance. Tax amnesty policy is best applied once in a lifetime, because the expectation of the taxpayers towards future tax amnesty will result in lowering the compliance. Taxpayers prefer the lowest rate on tariff period. ======================== Penelitian ini dilakukan karena ketidakpastian keberhasilan dari kebijakan pengampunan pajak. Tujuan penelitian ini adalah untuk menganalisis pengaruh dari faktor ekspektasi masyarakat akan adanya pengampunan pajak di kemudian hari, sistem tarif pengampunan, denda, dan pemeriksaan pajak terhadap kepatuhan pada kebijakan pengampunan pajak dengan menggunakan metode ekonomi ekperimental. Hasil penelitian menunjukkan bahwa pengampunan pajak diikuti dengan penerapan denda dan pemeriksaan yang ketat akan meningkatkan kepatuhan pajak. Kebijakan pengampunan pajak sebaiknya diterapkan satu kali saja karena jika masyarakat berekspektasi akan adanya kebijakan serupa di kemudian hari, wajib pajak akan menunggu kebijakan tersebut dan tetap tidak patuh. Wajib pajak umumnya menyukai tarif pengampunan terendah.

OPTIMASI BIAYA OPERASIONAL PADA KRL COMMUTER LINE DENGAN PEMBERANGKATAN KERETA Luciana, Shelen; Aman, Amril; Bakhtiar, Toni
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Optimal trainset dispatching can reduce passenger build-up and optimize operational costs. This research aimed to create a model of trainset dispatching for each time slot with minimum operational costs so that passenger demand can be met. The parameters in this research are the number of passengers getting-on and getting-off, the availability of each type of train series, train capacity, operational costs, and time limits for using the training series during operational hours. The model was formed into integer linear programming and resolved with Lingo 11.0 software. This model is applied in one direction from Bogor station to the Jakarta Kota commuter line. Trainset dispatching is done by selecting the 8 SF, 10 SF, and 12 SF trainset types with minimum operational costs at each time slot. The optimum results obtained during operational hours need to dispatch 56 trainset trips. Due to the limitations of the study the optimum operational cost of trainset dispatched is obtained 302C.

Constructing a predicting model for JCI return using adaptive network-based Fuzzy Inference System Endy Jeri Suswono; Dedi Budiman Hakim; Toni Bakhtiar
Jurnal Keuangan dan Perbankan Vol 23, No 1 (2019): January 2019
Publisher : University of Merdeka Malang

The high price fluctuations in the stock market make an investment in this area relatively risky. However, higher risk levels are associated with the possibility of higher returns. Predicting models allows investors to avoid loss rate due to price fluctuations. This study uses the ANFIS (Adaptive Network-based Fuzzy Inference System) to predict the Jakarta Composite Index (JCI) return. Forecasting JCI movement is considered to be the most influential predictor, consisting of Indonesia real interest rate, real exchange rate, US real interest rate, and WTI crude oil price. The results of this study point out that the best model to predict JCI return is the ANFIS model with pi membership function. The predicting model shows that real exchange rate is the most influential factor to the JCI movement. This model is able to predict the trend direction of the JCI movement with an accuracy of 83.33 percent. This model also has better performance than the Vector Error Correction Model (VECM) based on RMSE value. The ANFIS performance is relatively satisfactory to allow investors to forecast the market direction. Thus, investors can immediately take preventive action towards any potential for turmoil in the stock market.JEL Classification: D13, I31, J22DOI: https://doi.org/10.26905/jkdp.v23i1.2521

Nurses Scheduling by Considering the Qualification using Integer Linear Programming Maya Widyastiti; Amril Aman; Toni Bakhtiar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 3: September 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i3.2913

One of problems that frequently occurs in hospital management is nurses scheduling problem. A suitable schedule is needed in order to avoid fatigue, both physically and psychologically, which subsequently may deteriorate their performance. Nurse scheduling is commonly designed by the head of nurse manually. In this research, nurse scheduling problem is modeled by considering the qualification of the nurses and the model has the form of integer linear programming. The objective of the model is to maximize the number of nurse’s day-offs. Then optimization problem is implemented to nurses scheduling in the High Care Unit and the Emergency room of Rumah Sehat Terpadu Dompet Dhuafa Parung Bogor.

FLEKSIBILITAS NILAI TUKAR DAN PENYESUAIAN TRANSAKSI BERJALAN DI INDONESIA: ANALISIS THRESHOLD VAR Farhana Zahrotunnisa; Iman Sugema; Toni Bakhtiar
JURNAL EKONOMI DAN KEBIJAKAN PEMBANGUNAN Vol 4 No 2 (2015): Jurnal Ekonomi dan Kebijakan Pembangunan
Publisher : IPB University

Estimation study about the relationship between exchange rate flexibility and current account adjustment has been through three stages, the first stage was analysis of correlation among exchange rates variability (proxied by REER and NEER) and exchange rate regimes classification. The second step was estimating the relationship that the former was mentioned with VAR as benchmark model. The third step was applying the nonlinear estimation with Threshold VAR. The results of analysis showed that exchange rate regime classification may not capture actual exchange rate variability and flexibility exchange rate can accelerate current account adjustment in Indonesia if the changes of Indonesia exchange rate less than 27.7059 (low regime) whereas in high regime exchange rate is persistent increasing so that the system between exchange rate and current account become unstable. Bank Indonesia as monetary authorities must keep the changes of exchange rate less than 27.7059, due to exchange rate can affect current account adjustment, so can anticipate if there is current account deficit in Indonesia economy. Keywords : Exchange Rate Flexibility, Current Account Adjustment, Exchange Rate Regime, Classification, Threshold VAR

EFFECT OF THE GOVERNMENT INTERVENTION PROGRAM TO THE CROP INSURANCE PARTICIPATION LEVEL Muhammad Ibrahim Rachman; Nunung Nuryartono; Bustanul Arifin; Toni Bakhtiar
Jurnal Manajemen & Agribisnis Vol. 18 No. 1 (2021): JMA Vol. 18 No. 1, March 2021
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jma.18.1.1

In addition to premium subsidies, Indonesia's government implements other intervention programs as a stimulus to boost farmers’ participation in Rice Farmers Business Insurance (AUTP). Therefore, this study aimed to investigate the effect of the government intervention program in 2019 that requires participation in AUTP as a prerequisite for redeeming subsidized fertilizer. This study also aimed to ascertain the socioeconomic factors that influence farmers to participate. Meanwhile, primary data were obtained through questionnaires distributed from March 23 to April 6, 2020, and completed by 103 farmers in 14 villages in Sliyeg, Indramayu. The data were analyzed with McNemar Test to determine the effect of farmers’ participation in AUTP when the government intervention program was implemented and terminated. Furthermore, Logistic Regression Analysis is used to ascertain the socioeconomic factors that influence farmers to participate. The result showed that the program affects their participation in AUTP. This level is higher when the program is enforced and decreased when terminated. The socio-economics variables that influenced farmers to participate in AUTP when implemented in the government program are land ownership status and land size, while only land size influenced them when terminated. Keywords: agriculture risk, consumer behavior, government stimulus, participation rate, premium subsidy

KEUNGGULAN SISTEM KEUANGAN BERBASIS BAGI HASIL DAN IMPLIKASINYA PADA DISTRIBUSI PENDAPATAN Iman Sugema; Toni Bakhtiar; Jaenal Effendi
Jurnal Keuangan dan Perbankan Vol 13, No 3 (2009): September 2009
Publisher : University of Merdeka Malang

In this paper we attempted to answer a fundamental question whether banking systembased on a profi t-loss sharing (PLS) could improve welfare than an interest based banking system bydeveloping a rigorous theoretical modeling. In the framework of production technology we fi rstlyshowed that under production certainty and competitive market both PLS and interest based systemswere effi cient and right. However, under an uncertain situation due to a productivity shock,we proved that only the PLS system was right. We verifi ed our result by quantifying the effects onincome distribution for both lender and borrower. Two indicators, namely the standard error of distributionand Gini ratio were considered. We showed that the conventional credit market led to aserious income distribution problem where lenders did not enjoy the variability in income and didnot bear any risk, but in contrast, borrowers bore all the risk. On the other side, PLS system sharedthe risk between lenders and borrowers. In the end of the analysis, we proposed an instrument thatwould improve the performance of a PLS system from lenders perspective by introducing a so-calledrisk pooling mechanism.

FOREIGN EXCHANGE EXPECTATIONS IN INDONESIA: REGIME SWITCHING CHARTISTS AND FUNDAMENTALISTS APPROACH Ferry Syarifuddin; Noer Azam Achsani; Dedi Budiman Hakim; Toni Bakhtiar
Buletin Ekonomi Moneter dan Perbankan Vol 17 No 2 (2014)
Publisher : Bank Indonesia

In this research, the effect of central bank intervention within a heterogeneous expectation exchange rate model is investigated. The results are supporting both chartists and fundamentalist regimes. In the period investigated, chartist dominates in determining the exchange rate. While BI foreign exchange intervention can effectively push the market exchange-rate to its long-run fundamental equilibrium, however, Bank Indonesia’s effort to exert a stabilizing effect of foreign exchange interventions, the result does not show a success.

OPTIMIZING THE PROCESS OF PICK-UP AND DELIVERY WITH TIME WINDOWS USING ANT COLONY AND TABU SEARCH ALGORITHMS Imas Saumi Amalia; Toni Bakhtiar; Jaharuddin Jaharuddin
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

The provision of goods shuttle services sometimes faces several constraints, such as the limitation on the number of vehicles, vehicle capacity, and service time, or the vehicle used has single transport access. To avoid losses, a strategy is needed in determining the optimal route and policy for arranging goods in the vehicle especially if there are two types of goods involved. Traveling Salesman Problem and Pick-up and Delivery with Handling Costs and Time Windows (TSPPDHTW) is a model of an optimization problem that aims to minimize the total travel and goods handling costs in the goods pick-up and delivery with the constraints previously mentioned. Solving that model using the exact method requires a very long computation time so it’s not effective to be implemented in real-life. This study aims to develop a (meta)heuristic based on Ant Colony Optimization (ACO) and Tabu Search (TS) to be ACOTS to solve TSPPDHTW with reasonable computation time. The development is carried out by adding functions of clustering, evaluating constraints, cutting tours, arranging of goods, and evaluating moves on the TS, as well as modifying transition rules. The result has a deviation of about 22% and 99.99% less computational time than the exact method.

Co-Authors Amril Aman Bambang Juanda Bustanul Arifin Dedi Budiman Hakim Endy Jeri Suswono Ervina Mela Dewi, Yandra Arkeman, Erliza Noor, Noer Azam Achsani Farhana Zahrotunnisa Farida Hanum Ferry Syarifuddin Iman Sugema Imas Saumi Amalia J. JAHARUDDIN JAENAL EFFENDI Kurniawan, Benny Robby Lana Syakina Luciana, Shelen Maya Widyastiti Muhammad Ibrahim Rachman Nunung Nuryartono Prapto Tri Supriyo

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